Results 31 to 40 of about 38,295 (192)
A Total Ordering on n-Valued Refined Neutrosophic Sets using Dictionary Ranking based on Total ordering on n - Valued Neutrosophic Tuplets [PDF]
Neutrosophic Sets and Systems, 2023 The notion of fuzzy subsets was first introduced by Zadeh in 1965, and was later extended to intuitionistic fuzzy subsets by Atanassov in 1983. Since the inception of fuzzy set theory, we have encountered a number of generalizations of sets, one of which
V. Lakshmana Gomathi Nayagam +1 more
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Clustering with Interval-valued Fuzzy Sets [PDF]
Advances in Intelligent Systems Research, 2015 Interval-Valued Fuzzy Sets handle uncertainty and vagueness eectively. These features are particularly useful for clustering. In this paper it is showed the utility of Interval-Valued Fuzzy Sets for clustering with no accurate information. An easy method for clustering is proposed by generating transitive closures under a pseudo-t-representable t-norm.
Jose Luis González +1 more
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, 2012 This paper discusses the application of grey numbers for uncertainty representation. It highlights the difference between grey sets and interval-valued fuzzy sets, and investigates the degree of greyness for grey sets.
Antanassov +45 more
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Journal of Mathematics, 2021 The correlation coefficient between the two parameters plays a significant part in statistics. Furthermore, the exactness of the assessment of correlation depends upon information from the set of discourses.
Rana Muhammad Zulqarnain +3 more
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Interval-valued Fuzzy Soft Sets [PDF]
Journal of Korean Institute of Intelligent Systems, 2007 This paper extends the work of Maji et al. (2001) to present the concept of interval-valued fuzzy soft sets and to present an algorithm for finding where the degree of membership are represented by interval values in [0, 1]. The proposed method is more flexible than the one presented in Maji et al.
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Uncertainty representation of grey numbers and grey sets [PDF]
, 2013 In the literature there is a presumption that a grey set and an interval-valued fuzzy set are equivalent. This presumption ignores the existence of discrete components in a grey number. In this paper new measurements of uncertainties of grey numbers and
John, Robert, Liu, Sifeng, Yang, Yingjie
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Fuzzy Interval-Valued Multi Criteria Based Decision Making for Ranking Features in Multi-Modal 3D Face Recognition [PDF]
, 2017 Soodamani Ramalingam, 'Fuzzy interval-valued multi criteria based decision making for ranking features in multi-modal 3D face recognition', Fuzzy Sets and Systems, In Press version available online 13 June 2017.
Ramalingam, Soodamani
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Interpretable Monotonicities for Entropies of Intuitionistic Fuzzy Sets or Interval-valued Fuzzy Sets [PDF]
Atlantis Studies in Uncertainty Modelling, 2021 Monotonicity is a major property of entropy measures. In this paper, we focus on entropy measures for intuitionistic fuzzy sets and interval-valued fuzzy sets. We consider their polar representation which provides an easy interpretation of monotonicity for several entropy measures introduced in the literature.
Marsala, Christophe +1 more
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, 2016 Type-2 fuzzy logic systems make use of type-2 fuzzy sets. To be able to deliver useful type-2 fuzzy logic applications we need to be able to perform meaningful operations on these sets. These operations should also be practically tractable. However, type-
Coupland, Simon +2 more
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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.
Humberto Bustince
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