Results 61 to 70 of about 5,900 (204)
Interval-valued Fuzzy Sets in Soft Computing [PDF]
International Journal of Computational Intelligence Systems, 2010 In this work, we explain the reasons for which, for some speci c problems, interval-valued fuzzy sets must be considered a basic component of Soft Computing.
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Interval-valued complex fuzzy logic [PDF]
, 2016 DMU Interdisciplinary Group in Intelligent Transport Systems (DIGITS)Data is frequently characterised by both uncertainty and seasonality. Type-2 fuzzy sets are an extension of type-1 fuzzy sets offering a conceptual scheme within which the effects of ...
Francisco Chiclana +5 more
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Nearest interval-valued approximation of interval-valued fuzzy numbers [PDF]
, 2016 In this paper, we proposed a new interval-valued approximation of interval-valued fuzzy numbers, which is the best one with respect to a certain measure of distance between interval-valued fuzzy numbers.
Senu, Norazak +3 more
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Algorithms, 2018 Based on the probabilistic interval-valued hesitant fuzzy information aggregation operators, this paper investigates a novel multi-attribute group decision making (MAGDM) model to address the serious loss of information in a hesitant fuzzy information ...
Wenying Wu +4 more
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Bijective Interval-Valued Fuzzy Soft Set with Its Operations [PDF]
, 2020 . Bijective soft set is a valid approach for data mining and data analysis. This paper extends the notion to interval-valued fuzzy soft set, which can deal with more uncertain problems.
Ke Gong, Panpan Wang, Zhihui Qi
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Extension Principle of Interval-Valued Fuzzy Set
, 2007 In this paper, we introduce maximal and minimal extension principles of interval-valued fuzzy set and an axiomatic definition of generalized extension principle of interval-valued fuzzy set and use concepts of cut set of interval valued fuzzy set and interval-valued nested sets to explain their construction procedure in detail. These conclusions can be
Wenyi Zeng +2 more
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Methods of analysing ordinal/interval questionnaire data using fuzzy mathematical principle [PDF]
, 2007 Two methods of analysing interval/ordinal questionnaire data based upon principles from fuzzy mathematics and artificial intelligence are ...
Hassall, John
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New Operations over Interval Valued Intuitionistic Hesitant Fuzzy Set [PDF]
, 2014 Hesitancy is the most common problem in decision making, for which hesitant fuzzy set can be considered as a useful tool allowing several possible degrees of membership of an element to a set.
Florentin Smarandache +3 more
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A UNIFYING FIELD IN LOGICS: NEUTROSOPHIC LOGIC. NEUTROSOPHY, NEUTROSOPHIC SET, NEUTROSOPHIC PROBABILITY AND STATISTICS [PDF]
, 1995 In 1960s Abraham Robinson has developed the non-standard analysis, a formalization of analysis and a branch of mathematical logic, which rigorously defines the ...
SMARANDACHE, F.
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Application of Neutrosophic Set Theory in Generalized Assignment Problem [PDF]
Neutrosophic Sets and Systems, 2015 This paper presents the application of Neutrosophic Set Theory (NST) in solving Generalized Assignment Problem (GAP). GAP has been solved earlier under fuzzy environment. NST is a generalization of the concept of classical set, fuzzy set, interval-valued
Supriya Kar, Kajla Basu, Sathi Mukherjee
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