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Three-way decisions, concept lattice and granular computing: Editorial

Xizhao Wang, Jinhai Li
2018 International Journal of Machine Learning and Cybernetics  
As far as we know, some preliminary results have been obtained in comparing, connecting and combining threeway decisions, concept lattice and granular computing, such as fuzzy three-way concept analysis  ...  Recently, three-way decisions, concept lattice and granular computing have also been combined to achieve complex data analysis tasks or establish machine learning models.  ...  Xiaoli He, Ling Wei and Yanhong She introduce fuzzy logic into three-way formal concept analysis in their paper entitled "l-fuzzy concept analysis for three-way decisions: basic definitions and fuzzy inference  ... 
doi:10.1007/s13042-018-0876-8 fatcat:ykxo27zpxfcn7oqk5gchyc5hri

An Integrated Model for Optimization Oriented Decision Aiding and Rule Based Decision Making in Fuzzy Environment

A. Yousefli, M. Ghazanfari, M. B. Abiri
2014 Journal of Fuzzy Set Valued Analysis  
In this paper a fuzzy decision aid system is developed base on new concepts that presented in the field of fuzzy decision making in fuzzy environment (FDMFE).  ...  An application of developed decision aid model and decision support system is presented in the field of inventory models.  ...  Some basic concepts are presented and fuzzy decision Where, is the vector of fuzzy parameters with known making in fuzzy environment is defined using these possibility distributions.It must be noticed  ... 
doi:10.5899/2014/jfsva-00141 fatcat:ktj6h5ujwbcejednoxrenq7biu

Uncertain inference control for balancing an inverted pendulum

Yuan Gao
2012 Fuzzy Optimization and Decision Making  
Fuzzy inference control uses fuzzy sets to describe the antecedents and consequents of If-Then rules.  ...  However, most surveys show the antecedents and consequents are uncertain sets rather than fuzzy sets. This fact provides a motivation to invent an uncertain inference control method.  ...  As the If-Then rule above, the other 24 If-Then rules can be given in a similar way after simple mechanical analysis. The rule base is usually given in a rule table.  ... 
doi:10.1007/s10700-012-9124-y fatcat:kinxkrxyong6bcxqxmr2qfpinm

A TEMPORAL FRAMEWORK EMBEDDED IN DECISION MAKING SYSTEMS

Vasile MAZILESCU
2014 Risk in Contemporary Economy  
imprecise for distributed just in time decisions.  ...  In this kind of situations it is necessary to elaborate certain mechanisms in order to maintain the coherence of the obtained conclusions, to figure out their degree of reliability and the time domain  ...  If (C sem Y)A=1, then for any fuzzy set of Y formulas the following relation occurs╞A and A is a tautology, and C sem is the closing operator in L. A logical inference is a B 1 ,...  ... 
doaj:597ad6e76f63492a9ba0c939d19c746d fatcat:jnkbzhtcbfc2bf7oimlnbft22y

Decision Making in a Fuzzy Environment [chapter]

2007 Advances in Fuzzy Systems — Applications and Theory  
The concept of Interval-Valued Fuzzy Numbers (IVFNs) combined with VIKOR method has been adapted in this analysis. vi  ...  Keeping this in mind, this thesis introduces innovative decision aid methodologies for an evaluation cum selection policy analysis, based on theory of multi-criteria decision-making tools and fuzzy set  ...  The basic definitions and notations below will be used throughout this thesis until otherwise stated. Definitions of fuzzy sets: Definition 1.  ... 
doi:10.1142/9789812770622_0004 fatcat:7jaurelzsfdyfmomczs3j2354e

Decision Making in a Fuzzy Environment [chapter]

1997 Advances in Fuzzy Systems — Applications and Theory  
The concept of Interval-Valued Fuzzy Numbers (IVFNs) combined with VIKOR method has been adapted in this analysis. vi  ...  Keeping this in mind, this thesis introduces innovative decision aid methodologies for an evaluation cum selection policy analysis, based on theory of multi-criteria decision-making tools and fuzzy set  ...  The basic definitions and notations below will be used throughout this thesis until otherwise stated. Definitions of fuzzy sets: Definition 1.  ... 
doi:10.1142/9789812819789_0004 fatcat:voi2wnm5h5d27ctawkdh6eozcu

The Investigation of the Applicability of Fuzzy Rule-based Systems to Predict Economic Decision-Making

Anett Forgács, Judit Lukács, Richárd Horváth
2021 Acta Polytechnica Hungarica  
In this work, we basically emphasize the usability of the Fuzzy concept and its background rather than real case analysis. 3 Methods In 1965, L. A.  ...  They showed an overview of some of the basic mechanics of Fuzzy theory and current economic applications in both micro and macroeconomics.  ... 
doi:10.12700/aph.18.11.2021.11.6 fatcat:xtqfjme4svdjfpukd33icv4grq

Consumer Decision-Making Power Based on BP Neural Network and Fuzzy Mathematical Model

Weijie Li, Wenqing Wu
2021 Wireless Communications and Mobile Computing  
First, the basic theory of artificial neural network and the concepts of set theory and fuzzy reasoning of fuzzy mathematics are described.  ...  The purpose of this paper is to analyze the decision-making power of consumers based on the BP neural network and fuzzy mathematical model.  ...  Classical sets are difficult to describe fuzzy concepts accurately, because it is difficult to distinguish them in a single way. For its conceptual level, it is not absolute 1 and 0.  ... 
doi:10.1155/2021/6387633 fatcat:hmfmsuu2uvcfxfwninrmyncyi4

Solution of the Decision Making Problems using Fuzzy Soft Relations [article]

Arindam Chaudhuri, Kajal De, Dipak Chatterjee
2013 arXiv   pre-print
With the motivation of this new concept, in this paper we define the concepts of Soft Relation and Fuzzy Soft Relation and then apply them to solve a number of Decision Making Problems.  ...  The concept of Soft Set has a promising potential for giving an optimal solution for these problems.  ...  It is noteworthy that the concept of Fuzzy Set is congruent with early psychometric ideas; for example, pioneers such as L. L.  ... 
arXiv:1304.7238v1 fatcat:u3lb7a36wjcs5aleeeh7utvioa

Fuzzy multiple criteria decision making: Recent developments

Christer Carlsson, Robert Fullér
1996 Fuzzy sets and systems (Print)  
Fuzzy MCDM has basically been developed along the same lines, although with the help of fuzzy set theory a number of innovations have been made possible; the most important methods are reviewed and a novel  ...  There are four quite distinct families of methods: (i) the outranking, (ii) the value and utility theory based, (iii) the multiple objective programming, and (iv) group decision and negotiation theory  ...  Using fuzzy relations and interval valued fuzzy sets as the basic tool for modeling I.B. Turksen and T.  ... 
doi:10.1016/0165-0114(95)00165-4 fatcat:zwyxob2n7nepnm64wgqeppigbi

CALCULUS OF FUZZY RESTRICTIONS [chapter]

L.A. Zadeh
1975 Fuzzy Sets and their Applications to Cognitive and Decision Processes  
For example, "Stella is young," where young is a fuzzy subset of the real line, translates into R(Age(Stella)) = young.  ...  R(A(x)) = P, where A(x) is an implied attribute of x, R is a fuzzy restriction on x, and P is the unary fuzzy relation which is assigned to R.  ...  Morita for his valuable discussion.  ... 
doi:10.1016/b978-0-12-775260-0.50006-2 fatcat:zhkupyhimzcaffxqgadlfom2zq

Outline of a New Approach to the Analysis of Complex Systems and Decision Processes

Lotfi A. Zadeh
1973 IEEE Transactions on Systems, Man and Cybernetics  
As a case in point, the successes of modern control rules of inference. In our view, it is this fuzzy, and as yet not well-understood, logic that plays a basic role in what  ...  It has three main distinguishing features: 1) use of so-called of economic and biological systems.  ...  Thus, fuzzy x = u or v (5.22) algorithms could become an important tool for an apwhere u and v are labels of fuzzy sets, then proximate analysis of systems and decision processes which are much too complex  ... 
doi:10.1109/tsmc.1973.5408575 fatcat:wvulcqszbvctbjbdmx52i47mvm

A Fuzzy Approach to the Synthesis of Cognitive Maps for Modeling Decision Making in Complex Systems

Aslan A. Tatarkanov, Islam A. Alexandrov, Leonid M. Chervjakov, Tatyana V. Karlova
2022 Emerging Science Journal  
It is shown that further improvement of technologies necessary for developing decision support systems and their practical use is still relevant.  ...  Thus, it is advisable to use our proposed algorithm in the future as a mathematical basis for developing software tools for the analysis and modeling of problems in semistructured systems and processes  ...  The transfer of mutual influence between concepts is based on Mamdani's fuzzy inference method, where fuzzy sets condition the values of input and output variables.  ... 
doi:10.28991/esj-2022-06-02-012 fatcat:jnie3k26mvgstchatrg2cro664

Decision Making Methods for Evaluation of Efficiency of General Insurance Companies: A Comparative Study of DEA, SFA and Neutrosophic Decision Making

Zhao Loon Wang, Jin Kim, Ganeshsree Selvachandran, Florentin Smarandache, Le Hoang Son, Mohamed Abd El-Basset, Pham Huy Thong, Mahmoud Ismail
2019 IEEE Access  
Hence relying on entirely objective decision making methods based on crisp data might not address the problem effectively, and therefore fuzzy based decision making methods are highly appropriate to be  ...  The results obtained are then discussed and the possible reasons for the results are analyzed.  ...  ACKNOWLEDGMENT The authors would like to thank the Editor-in-Chief and the anonymous reviewers for their valuable comments and suggestions.  ... 
doi:10.1109/access.2019.2950455 fatcat:bcko2tnqinge7cetukb3xboigi

Knowledge-Based Gear-Position Decision

G. Qin, A. Ge, J.-J. Lee
2004 IEEE transactions on intelligent transportation systems (Print)  
., gearposition decision (GPD) and the ability of automatic shifting control. Shifting control is a typical mechanical device-control problem.  ...  Perini and L. Cohen, "An alternative way to stir the fields in a mode stirred chamber," in Proc.IEEE EMC Society 2000 Int.Symp., Washington, DC, Aug. 2000, pp.633-637.[14] O. Lundén and M.  ... 
doi:10.1109/tits.2004.828171 fatcat:y7cmfzxe6nb2rjqn2delqgevxe
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