Results for 'Fuzzy Time'

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  1. Fuzzy time”, a Solution of Unexpected Hanging Paradox (a Fuzzy interpretation of Quantum Mechanics).Farzad Didehvar - manuscript
    Although Fuzzy logic and Fuzzy Mathematics is a widespread subject and there is a vast literature about it, yet the use of Fuzzy issues like Fuzzy sets and Fuzzy numbers was relatively rare in time concept. This could be seen in the Fuzzy time series. In addition, some attempts are done in fuzzing Turing Machines but seemingly there is no need to fuzzy time. Throughout this article, we try to change (...)
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  2. About Fuzzy time-Particle interpretation of Quantum Mechanics (it is not an innocent one!) version one.Farzad Didehvar - manuscript
    The major point in [1] chapter 2 is the following claim: “Any formalized system for the Theory of Computation based on Classical Logic and Turing Model of Computation leads us to a contradiction.” So, in the case we wish to save Classical Logic we should change our Computational Model. As we see in chapter two, the mentioned contradiction is about and around the concept of time, as it is in the contradiction of modified version of paradox. It is natural (...)
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  3. Fuzzy time”, from paradox to paradox (Does it solve the contradiction between Quantum Mechanics & General Relativity?).Farzad Didehvar - manuscript
    Although Fuzzy logic and Fuzzy Mathematics is a widespread subject and there is a vast literature about it, yet the use of Fuzzy issues like Fuzzy sets and Fuzzy numbers was relatively rare in time concept. This could be seen in the Fuzzy time series. In addition, some attempts are done in fuzzing Turing Machines but seemingly there is no need to fuzzy time. Throughout this article, we try to change (...)
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  4. Computing Fuzzy Time Function.Farzad Didehvar - manuscript
    We consider time as a fuzzy concept. Based on this, the Fuzzy Time-Particle interpretation Of Quantum Mechanics is introduced as an interpretation of Quantum Mechanics [4],[5],[6]. Here, we show how to compute the function associated to Fuzzy time.
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  5. Why Fuzzy Time-Particle interpretation but not Fuzzy (Space,Time)-Particle? Why Time is Asymmetrical?Didehvar Farzad - manuscript
    In previous article (Computing Fuzzy Time Function) the fuzzy function associated to the instants of time is computed, as it is introduced in Fuzzy Time-Particle interpretation of Quantum Mechanics. Here, we show this computation concludes time is asymmetrical. Also, some other results of the studied paper are discussed.
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  6. "Fuzzy Time", not Probabilistic Time! (Infinities in Physics).Didehvar Farzad - manuscript
    Why Fuzzy time? Why neither "Probabilistic Time" nor "Stochastic time"? In this very short note we argue about.
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  7. Fuzzy Time & NP Hardness (P*=BPP*, P*≠NP*).Farzad Didehvar - manuscript
    We have shown the plausibility of considering time as a Fuzzy concept instead of classical time [7], [8]. By considering time as a fuzzy concept, we will have new classes of Complexity. Here, we show that how some famous problems will be solved in this new picture.
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  8. Does accepting Fuzzy Time-Particle interpretation of Quantum Mechanics, refute the other interpretations? (Is fuzziness of time checkable experimentally?).Farzad Didehvar - manuscript
    Throughout this paper, in a nutshell we try to show a way to check Fuzzy time in general and Fuzzy time-Particle interpretation of Quantum Mechanics, experimentally. . -/- .
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  9. SINGULARITIES About Fuzzy time- Particle interpretation of Quantum Mechanics (It is not an innocent one!) Version two.Farzad Didehvar - manuscript
    Here, we show that by accepting Fuzzy time-Particle interpretation of Quantum Mechanics, the singularities in the new Model are vanished.
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  10. By considering Fuzzy time, P=BPP (P*=BPP*).Farzad Didehvar - manuscript
    The reason ability of considering time as a fuzzy concept is demonstrated in [7],[8]. One of the major questions which arise here is the new definitions of Complexity Classes. In [1],[2],…,[11] we show why we should consider time a fuzzy concept. It is noticeable to mention that that there were many attempts to consider time as a Fuzzy concept, in Philosophy, Mathematics and later in Physics but mostly based on the personal intuition of the (...)
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  11. Double Slit Experiment About Fuzzy time- Particle interpretation of Quantum Mechanics (It is not an innocent one!) Version two.Farzad Didehvar - manuscript
    The question of some of the friends is: -/- How is it possible to explain “Double slit experiment” by “Fuzzy time-Particle Interpretation”?
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  12.  99
    Theory of Fuzzy Time Computation (TC* vs TC & TQC).Didehvar Farzad - manuscript
    One of the possible hypotheses about time is to consider any instant of time as a fuzzy number so that two instances of time could be overlapped. Historically, some Mathematicians and Philosophers have had similar ideas. Brouwer and Husserl are two examples. This article studies the impact of this change on the Theory of Computation and Complexity Theory. In order to rebuild the Theory of Computation in a more successful and productive approach to solve some major (...)
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  13.  78
    Theory of Fuzzy Time Computation (2, P vs NP problem).Didehvar Farzad - manuscript
    Throughout this paper, we prove TC + CON(TC*)ͰP ≠ NP. To do that, firstly we introduce the definition of scope∗ . This definition is based on the practical situation of computation in the real world. In the real world and real computational activities, we face finite number of efficient computable functions which work in a limited time. Inspired by this fact and considering time as a fuzzy concept, we have the definition. By employing this definition, we reach (...)
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  14.  73
    Theory of Fuzzy Time Computation (2) (TC+CON(〖TC*〗)ͰP≠NP).Didehvar Farzad - manuscript
    Throughout this paper, we prove TC+CON(〖TC*〗 )ͰP≠NP. To do that, firstly, we introduce the definition of scope*. This definition is based on the practical situation of computation in the real world. In the real world and real computational activities, we face a finite number of efficiently computable functions which work in a limited time. Inspired by this fact and considering time as a fuzzy concept, we have the definition. By employing this definition, we reach a world of (...)
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  15.  68
    Theory of Fuzzy Time Computation (2) (TC+CON(〖TC*〗)ͰP≠NP).Didehvar Farzad - manuscript
    Throughout this paper, we prove TC+CON(〖TC* 〗)ͰP≠NP. To do that, firstly, we introduce the definition of scope_^*. This definition is based on the practical situation of computation in the real world. In the real world and real computational activities, we face a finite number of efficiently computable functions which work in a limited time. Inspired by this fact and considering time as a fuzzy concept, we have the definition. By employing this definition, we reach a world of (...)
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  16.  98
    Theory of Fuzzy Time Computation (3).Didehvar Farzad - manuscript
    Here, we give the second proof for TC+CON(TC∗)ͰP≠NP . The first proof is in [1]. In the second proof, we do not employ the concept of scope.
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  17. P≠NP, By accepting to make a shift in the Theory (Time as a fuzzy concept) The Structure of a Theory (TC*, Theory of Computation based on Fuzzy time).Farzad Didehvar - manuscript
    In a series of articles we try to show the need of a novel Theory for Theory of Computation based on considering time as a Fuzzy concept. Time is a central concept In Physics. First we were forced to consider some changes and modifications in the Theories of Physics. In the second step and throughout this article we show the positive Impact of this modification on Theory of Computation and Complexity Theory to rebuild it in a more (...)
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  18.  65
    Theory of Fuzzy Time Computation (2) (TC+CON(〖TC〗^*)ͰP≠NP).Didehvar Farzad - manuscript
    Throughout this paper, we prove TC+CON(〖TC〗^* )ͰP≠NP. To do that, firstly, we introduce the definition of scope_^*. This definition is based on the practical situation of computation in the real world. In the real world and real computational activities, we face a finite number of efficiently computable functions which work in a limited time. Inspired by this fact and considering time as a fuzzy concept, we have the definition. By employing this definition, we reach to a world (...)
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  19. P≠NP, By considering time as a fuzzy concept.Didehvar Farzad - manuscript
    Here, we try to build the structure of a Theory of computation based on considering time as a fuzzy concept. Actually, there are some reasons to consider time as a fuzzy concept. In this article, we don’t go to this side but we remind that Brower and Husserl ideas about the concept of time were similar [14]. Throughout this article, we present the Theory of Computation with Fuzzy Time. Considering the classical definition of (...)
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  20. Fuzzy Space?Didehvar Farzad - manuscript
    In the sequence of articles [1],...,[14], we consider Fuzziness of Time. What about space? Should we consider Fuzzy Space? What would be the Structure of the Physical world? Here we try to shed a light on this subject.
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  21. Welcome to the Fuzzy-Verse.Eddy Keming Chen - 2020 - New Scientist 247 (3298):36-40.
    We expect the laws of nature that describe the universe to be exact, but what if that isn't true? In this popular science article, I discuss the possibility that some candidate fundamental laws of nature, such as the Past Hypothesis, may be vague. This possibility is in conflict with the idea that the fundamental laws of nature can always and faithfully be described by classical mathematics. -/- [Bibliographic note: this article is featured on the magazine website under a different title (...)
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  22. Mass Time, Mass System, Electrical Charge Time (Infinities in Physics).Farzad Didehvar - manuscript
    Here, we continue the discussion in [1], about infinities in Physics. Our goal is to create a Mathematical system to give a probable explanation for infinities in QED, based on Fuzzy time. This Mathematical system should be sufficiently satisfactory and Simple. In general, our goal of these series, is to provide more reasons to consider time as a fuzzy concept in a way that is explained in [4], [5], [6].
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  23. Many-Valued And Fuzzy Logic Systems From The Viewpoint Of Classical Logic.Ekrem Sefa Gül - 2018 - Tasavvur - Tekirdag Theology Journal 4 (2):624 - 657.
    The thesis that the two-valued system of classical logic is insufficient to explanation the various intermediate situations in the entity, has led to the development of many-valued and fuzzy logic systems. These systems suggest that this limitation is incorrect. They oppose the law of excluded middle (tertium non datur) which is one of the basic principles of classical logic, and even principle of non-contradiction and argue that is not an obstacle for things both to exist and to not exist (...)
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  24. Comparisons of Fuzzy MRAS and PID Controllers for EMS Maglev Train.Mustefa Jibril & Tesfabirhan Shoga - 2020 - Report and Opinion Journal 12 (2):55-61.
    In this paper, a Magnetic Levitation (MAGLEV) train is designed with a single degree of freedom electromagnet-based system that allows the train to levitate vertically up and down. Fuzzy logic, PID and Mras controllers are used to improve the Magnetic Levitation train passenger comfort and road handling. A matlab Simulink model is used to compare the performance of the three controllers using step input signals. The stability of the Magnetic Levitation train is analyzed using root locus technique. Controller output (...)
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  25.  92
    Degree of Dependence and Independence of the Components of Fuzzy Set and Neutrosophic Set.Florentin Smarandache - 2015 - Neutrosophic Sets and Systems 11:95-97.
    We have introduced for the first time the degree of dependence (and consequently the degree of independence) between the components of the fuzzy set, and also between the components of the neutrosophic set in our 2006 book’s fifth edition [1]. Now we extend it for the first time to the refined neutrosophic set considering the degree of dependence or independence of subcomponets.
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  26. Degree of Dependence and Independence of the (Sub)Components of Fuzzy Set and Neutrosophic Set.Florentin Smarandache - 2016 - Neutrosophic Sets and Systems 11 (1):95-97.
    We have introduced for the first time the degree of dependence (and consequently the degree of independence) between the components of the fuzzy set, and also between the components of the neutrosophic set in our 2006 book’s fifth edition [1]. Now we extend it for the first time to the refined neutrosophic set considering the degree of dependence or independence of subcomponets.
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  27. Decision Making Based on Valued Fuzzy Superhypergraphs.Florentin Smarandache - 2023 - Computer Modeling in Engineering and Sciences 138 (2):1907-1923.
    This paper explores the defects in fuzzy (hyper) graphs (as complex (hyper) networks) and extends the fuzzy (hyper) graphs to fuzzy (quasi) superhypergraphs as a new concept.We have modeled the fuzzy superhypergraphs as complex superhypernetworks in order to make a relation between labeled objects in the form of details and generalities. Indeed, the structure of fuzzy (quasi) superhypergraphs collects groups of labeled objects and analyzes them in the form of the part to part of objects, (...)
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  28. Design and Control of EMS Magnetic Levitation Train using Fuzzy MRAS and PID Controllers.Mustefa Jibril, Mesay Tadesse & Elias Alemayehu - 2020 - International Journal of Advance Research and Innovative Ideas in Education 6 (2):1023-1031.
    In this paper, a Magnetic Levitation (MAGLEV) train is designed with a first degree of freedom electromagnetbased totally system that permits to levitate vertically up and down. Fuzzy logic, PID and MRAS controllers are used to improve the Magnetic Levitation train passenger comfort and road handling. A Matlab Simulink model is used to compare the performance of the three controllers using step input signals. The stability of the Magnetic Levitation train is analyzed using root locus technique. Controller output response (...)
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  29. Design of Temperature Control System for Infant Incubator using Auto Tuning Fuzzy-PI Controller. Sumardi, Darjat, Enda Wista Sinuraya & Rahmat Jati Pamungkas - 2019 - International Journal of Engineering and Information Systems (IJEAIS) 3 (1):1-7.
    Premature birth or low birth weight (LBW) is predictor of infant morbidity and mortality. Generally, infant with premature birth will be treated on incubator device. Incubator must provide stable levels of temperature, relative humidity and oxygen concentration. Temperature on infant incubator must be maintaned around 36°C-38°C. In order to control that, adaptive Fuzzy- PI controller is proposed and implemented on infant incubator’s prototype. This research use DHT11 sensor as sensing element and the control method are actuated by lightbulbs. The (...)
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  30. Zeno Paradox, Unexpected Hanging Paradox (Modeling of Reality & Physical Reality, A Historical-Philosophical view).Farzad Didehvar - manuscript
    . In our research about Fuzzy Time and modeling time, "Unexpected Hanging Paradox" plays a major role. Here, we compare this paradox to the Zeno Paradox and the relations of them with our standard models of continuum and Fuzzy numbers. To do this, we review the project "Fuzzy Time and Possible Impacts of It on Science" and introduce a new way in order to approach the solutions for these paradoxes. Additionally, we have a more (...)
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  31. Zeno Paradox, Unexpected Hanging Paradox (Modeling of Reality & Physical Reality, A Historical-Philosophical view).Farzad Didehvar - manuscript
    In our research about Fuzzy Time and modeling time, "Unexpected Hanging Paradox" plays a major role. Here, we compare this paradox to the Zeno Paradox and the relations of them with our standard models of continuum and Fuzzy numbers. To do this, we review the project "Fuzzy Time and Possible Impacts of It on Science" and introduce a new way in order to approach the solutions for these paradoxes. Additionally, we have a more general (...)
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  32. TC*.Didehvar Farzad - manuscript
    One of the possible hypotheses about time is to consider any instant of time as fuzzy number, so that two instants of time could be overlapped. Historically, some Mathematicians and Philosophers have had similar ideas like Brouwer and Husserl [5]. Throughout this article, the impact of this change on Theory of Computation and Complexity Theory are studied. In order to rebuild Theory of Computation in a more successful and productive approach to solve some major problems in (...)
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  33. P≠NP.Didehvar Farzad - manuscript
    Here, the author tries to build the structure of the Theory of computation based on considering time as a fuzzy concept. In fact, there are reasons to consider time as a fuzzy concept. In this article, the author doesn’t go to this side but note that Brower and Husserl views on the concept of time were similar [8]. Some reasons have been given for it in [3]. Throughout this article, the author presents the Theory of (...)
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  34. Neutrosophic Set and Neutrosophic Topological Spaces.A. A. Salama & S. A. Alblowi - 2012 - IOSR Journal of Mathematics (IOSR-JM) 3 (4):31-35.
    Neutrosophy has been introduced by Smarandache [7, 8] as a new branch of philosophy. The purpose of this paper is to construct a new set theory called the neutrosophic set. After given the fundamental definitions of neutrosophic set operations, we obtain several properties, and discussed the relationship between neutrosophic sets and others. Finally, we extend the concepts of fuzzy topological space [4], and intuitionistic fuzzy topological space [5, 6] to the case of neutrosophic sets. Possible application to superstrings (...)
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  35. Department of Electrical Energy System Engineering, US-Pakistan Center for Advanced Studies in Energy (USPCAS-E), UET Peshawar, Pakistan.Amir Khan - 17/01/2021 - International Journal of Engineering Works 8 (01):1-7.
    In this paper comparative analysis of maximum power point tracking techniques has been conducted to achieve highest magnitude of power from photovoltaic array. The algorithms proposed in this paper for extracting peak output from photovoltaic array are Perturb and Observe, Incremental Conductance, and Fuzzy Logic Control. There are some limitations with conventional converters i.e. Buck-Boost converter. When the operating voltage exceeds normal voltage as the voltage becomes high, the conventional converters fail to carry high voltage and current. Apart from (...)
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  36. Introduction to the IndetermSoft Set and IndetermHyperSoft Set.Florentin Smarandache - 2022 - Neutrosophic Sets and Systems 51 (1):629-650.
    In this paper one introduces for the first time the IndetermSoft Set, as extension of the classical (determinate) Soft Set, that deals with indeterminate data, and similarly the HyperSoft Set extended to IndetermHyperSoft Set, where ‘Indeterm’ stands for ‘Indeterminate’ (uncertain, conflicting, not unique outcome). They are built on an IndetermSoft Algebra that is an algebra dealing with IndetermSoft Operators resulted from our real world. Afterwards, the corresponding Fuzzy / Intuitionistic Fuzzy / Neutrosophic / and other fuzzy-extension (...)
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  37. The lack of structure of knowledge.Arthur Viana Lopes - 2018 - Aufklärung 5 (2):21-38.
    For a long time philosophers have struggled to reach a definition of knowledge that is fully satisfactory from an intuitive standard. However, what could be so fuzzy about the concept of knowledge that it makes our intuitions to not obviously support a single analysis? One particular approach from a naturalistic perspective treats this question from the point of view of the psychology of concepts. According to it, this failure is explained by the structure of our folk concept of (...)
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  38. Incompleteness of a first-order Gödel logic and some temporal logics of programs.Matthias Baaz, Alexander Leitsch & Richard Zach - 1996 - In Kleine Büning Hans (ed.), Computer Science Logic. CSL 1995. Selected Papers. Springer. pp. 1--15.
    It is shown that the infinite-valued first-order Gödel logic G° based on the set of truth values {1/k: k ε w {0}} U {0} is not r.e. The logic G° is the same as that obtained from the Kripke semantics for first-order intuitionistic logic with constant domains and where the order structure of the model is linear. From this, the unaxiomatizability of Kröger's temporal logic of programs (even of the fragment without the nexttime operator O) and of the authors' temporal (...)
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  39. Neutrosophic Algebraic Structures and Their Applications.Florentin Smarandache, Memet Şahin, Derya Bakbak, Vakkas Uluçay & Abdullah Kargın - 2022 - Gallup, NM, USA: NSIA Publishing House.
    Neutrosophic theory and its applications have been expanding in all directions at an astonishing rate especially after of the introduction the journal entitled “Neutrosophic Sets and Systems”. New theories, techniques, algorithms have been rapidly developed. One of the most striking trends in the neutrosophic theory is the hybridization of neutrosophic set with other potential sets such as rough set, bipolar set, soft set, hesitant fuzzy set, etc. The different hybrid structures such as rough neutrosophic set, single valued neutrosophic rough (...)
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  40. Introducción a los conjuntos IndetermSoft e IndetermHyperSoft.Florentin Smarandache - 2022 - Neutrosophic Computing and Machine Learning 22 (1):1-22.
    This paper presents for the first time the IndetermSoft Set, as an extension of the classical (determinate) Soft Set, which operates on indeterminate data, and similarly the HyperSoft Set extended to the IndetermHyperSoft Set, where 'Indeterm' means 'Indeterminate' (uncertain, conflicting, non-unique result). They are built on an IndetermSoft Algebra which is an algebra dealing with IndetermSoft Operators resulting from our real world. Subsequently, the IndetermSoft and IndetermHyperSoft Sets and their Fuzzy/Fuzzy Intuitionistic/Neutrosophic and other fuzzy extensions and (...)
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  41. The Facts. Just the Facts.William M. Goodman - manuscript
    Although at first glance, “facts” are the paradigms of straightforwardness, something about facts seems to invite perpetual controversy and dichotomizing. Innumerable bifurcations on the topic have included "Facts vs. Theories”, “Facts vs. Appearance”, "Facts vs. Values", ... and, popular nowadays, "(Real)Facts vs. Fake Facts". This paper most aligns with the facts vs. theories model, so far as whatever facts are, theories seem to be constructed stories that are necessary for connecting and interpreting the facts. Yet the boundary between the two (...)
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  42. Quantum Physics: an overview of a weird world: A primer on the conceptual foundations of quantum physics.Marco Masi - 2019 - Indy Edition.
    This is the first book in a two-volume series. The present volume introduces the basics of the conceptual foundations of quantum physics. It appeared first as a series of video lectures on the online learning platform Udemy.]There is probably no science that is as confusing as quantum theory. There's so much misleading information on the subject that for most people it is very difficult to separate science facts from pseudoscience. The goal of this book is to make you able to (...)
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  43.  92
    Neutrosophic overset, neutrosophic underset, and neutrosophic offset: similarly for neutrosophic over-/under-/off-logic, probability, and statistics.Florentin Smarandache - 2016 - Brussels: Pons Editions.
    Neutrosophic Over-/Under-/Off-Set and -Logic were defined for the first time by Smarandache in 1995 and published in 2007. They are totally different from other sets/logics/probabilities. He extended the neutrosophic set respectively to Neutrosophic Overset {when some neutrosophic component is > 1}, Neutrosophic Underset {when some neutrosophic component is < 0}, and to Neutrosophic Offset {when some neutrosophic components are off the interval [0, 1], i.e. some neutrosophic component > 1 and other neutrosophic component < 0}. This is no surprise (...)
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  44.  99
    Uncovering epistemological assumptions underlying research in information studies.Steve Fuller, Birger Hjørland, Fidelia Ibekwe-SanJuan, Lai Ma, Jens Erik Mai, Joseph Tennis & Julian Warner - 2013 - Proceedings of the American Society for Information Science and Technology 50 (1):1-4.
    There have been several calls from LIS researchers for practical or applied research not to ignore the epistemological assumptions underlying the systems and artifacts they design lest they showcase only the dominant theory at a given time. Others have also deplored the "epistemological promiscuity" or "eclecticism" of the field, its incessant borrowing of theories and models from elsewhere and the fact that the field has largely neglected the contributions that philosophy and epistemology could have made in its research. This (...)
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  45. NeutroAlgebra Theory, volume I.Florentin Smarandache, Memet Şahin, Derya Bakbak, Vakkas Uluçay & Abdullah Kargın - 2021 - Grandview Heights, OH, USA: Educational Publisher.
    Neutrosophic theory and its applications have been expanding in all directions at an astonishing rate especially after of the introduction the journal entitled “Neutrosophic Sets and Systems”. New theories, techniques, algorithms have been rapidly developed. One of the most striking trends in the neutrosophic theory is the hybridization of neutrosophic set with other potential sets such as rough set, bipolar set, soft set, hesitant fuzzy set, etc. The different hybrid structures such as rough neutrosophic set, single valued neutrosophic rough (...)
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  46. Artistic Mediation in Mathematized Phenomenology.Robert Prentner & Shanna Dobson - manuscript
    Mathematics has a long track record of refining the concepts by which we make sense of the world. For example, mathematics allows one to speak about different senses of "sameness", depending on the larger context. Phenomenology is the name of a philosophical discipline that tries to systematically investigate the first-personal perspective on reality and how it is constituted. Together, mathematics and phenomenology seem to be a good fit to derive statements about our experience that are, at the same time, (...)
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  47. Economic management function of the state of the socialist Republic of Vietnam.Nguyen Hong Son - 2019 - Dissertation, Ho Chi Minh National Academy of Politics
    Mankind history has recorded the birth, development, survival struggle, and decline of various forms of states. Along with that process, the role and function of the State in socio-economic development have been strongly highlighted, represented not only social classes but also the characteristics of institutions, structures, and organizations of society in each period, and in accordance with the development of human cognition. The state in a socialist-oriented market economy has similar connotations and differences in comparison with states in general. However, (...)
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  48. A Fuzzy Application of Techniques from Topological Supersymmetric Quantum Mechanics to Social Choice Theory: A New Insight on Flaws of Democracy.Wilfrid Wulf - forthcoming - Journal of Social Sciences and Humanities.
    We introduce a new theorem in social choice theory built on a path integral approach which will show that, under some reasonable conditions, there is a unique way to aggregate individual preferences based on fuzzy sets into a social preference based on probabilities, and that this way is invariant under any permutation of alternatives. We then apply this theorem to the case of democratic decision making with data of the behaviour and voting preferences of voting agents and show that (...)
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  49. Fuzzy Networks for Modeling Shared Semantic Knowledge.Farshad Badie & Luis M. Augusto - 2023 - Journal of Artificial General Intelligence 14 (1):1-14.
    Shared conceptualization, in the sense we take it here, is as recent a notion as the Semantic Web, but its relevance for a large variety of fields requires efficient methods of extraction and representation for both quantitative and qualitative data. This notion is particularly relevant for the investigation into, and construction of, semantic structures such as knowledge bases and taxonomies, but given the required large, often inaccurate, corpora available for search we can get only approximations. We see fuzzy description (...)
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  50. A Bipolar Fuzzy Extension of the MULTIMOORA Method.Dragisa Stanujkic, Assia Bakali, Darjan Karabasevic, Edmundas Kazimieras Zavadskas, Florentin Smarandache & Willem K. M. Brauers - 2019 - Informatica 30 (1):135–152.
    The aim of this paper is to make a proposal for a new extension of the MULTIMOORA method extended to deal with bipolar fuzzy sets. Bipolar fuzzy sets are proposed as an extension of classical fuzzy sets in order to enable solving a particular class of decision-making problems. Unlike other extensions of the fuzzy set of theory, bipolar fuzzy sets introduce a positive membership function, which denotes the satisfaction degree of the element x to the (...)
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