Results 1 to 10 of about 2,251 (261)
An Interval-Valued Divergence for Interval-Valued Fuzzy Sets [PDF]
Characterizing the degree of similarity or difference between two sets is a very important topic, since it has many applications in different areas, including image processing or decision making. Several studies have been done about the comparison of fuzzy sets and its extensions, in particular for interval-valued fuzzy sets.
Díaz S, Díaz I, Montes S.
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Specificity for interval-valued fuzzy sets [PDF]
In this paper some axiomatic definitions about specificity for interval-valued fuzzy sets are proposed. Some examples of measures of specificity for interval-valued fuzzy sets are showed.
Ramón González-del-Campo +2 more
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Generalised Interval-Valued Fuzzy Soft Set [PDF]
We introduce the concept of generalised interval-valued fuzzy soft set and its operations and study some of their properties. We give applications of this theory in solving a decision making problem.
Shawkat Alkhazaleh, Abdul Razak Salleh
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On Generalised Interval-Valued Fuzzy Soft Sets [PDF]
Soft set theory, initiated by Molodtsov, can be used as a new mathematical tool for dealing with imprecise, vague, and uncertain problems. In this paper, the concepts of two types of generalised interval-valued fuzzy soft set are proposed and their basic
Xiaoqiang Zhou, Qingguo Li, Lankun Guo
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Interval-valued Fuzzy Sets in Soft Computing [PDF]
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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(inf, sup)-Hesitant Fuzzy Ideals of BCK/BCI-Algebras
In this paper, we introduce the concept of (inf, sup)-hesitant fuzzy ideals, which is a generalization of the concept of interval-valued fuzzy ideals, in BCK/BCI-algebras and its related properties are investigated. The concept is established in terms of
Noppakao Ratchakhwan +5 more
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Convexity and level sets for interval-valued fuzzy sets [PDF]
AbstractConvexity is a deeply studied concept since it is very useful in many fields of mathematics, like optimization. When we deal with imprecision, the convexity is required as well and some important applications can be found fuzzy optimization, in particular convexity of fuzzy sets.
Pedro Huidobro +3 more
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: In this paper, we introduce Interval valued q- Rung Orthopair Hesitant fuzzy sets (IVq-ROHFS) with motivation of Interval valued pythagorean Hesitant fuzzy sets [44] as a new concept.
Şerif ÖZLÜ
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On Interval-Valued Fuzzy Soft Preordered Sets and Associated Applications in Decision-Making
Recently, using interval-valued fuzzy soft sets to rank alternatives has become an important research area in decision-making because it provides decision-makers with the best option in a vague and uncertain environment. The present study aims to give an
Mabruka Ali, Adem Kılıçman
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Clustering with Interval-valued Fuzzy Sets [PDF]
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.
Ramón González del Campo +1 more
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