Results 71 to 80 of about 7,058,540 (197)
Interval-Valued Fuzzy c-Means Algorithm and Interval-Valued Density-Based Fuzzy c-Means Algorithm
Most of the time membership value in the fuzzy set cannot be exactly defined. Interval-valued fuzzy set (IVFS) is a special type of type-2 fuzzy sets which represents the membership value of the fuzzy set as an interval.
Q. M. Danish Lohani +7 more
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The significant increase in vehicular traffic has grown into an enormous challenge for both the transportation system and public safety mechanisms. To address such issues effectively, experts must employ an integrated, competent decision-making strategy ...
R. M. Zulqarnain +5 more
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In this work we introduce a method for building interval-valued negations using the characterization theorem for strong negations which was proposed by Trillas in 1979.
M. Pagola +9 more
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Notes on Interval-Valued Hesitant Fuzzy Soft Topological Space [PDF]
In this paper we introduce the notion of interval valued hesitant fuzzy soft topological space. Also the concepts of interval valued hesitant fuzzy soft closure; interior and neighbourhood are introduced here and established some important ...
, Manash Jyoti Borah, Bipan Hazarika
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Similarity measure and sine exponential measure of possibility interval-valued neutrosophic hypersoft sets and their applications [PDF]
The Hypersoft set (HSS) has been created as an extension of a soft set (SS) in order to address limitations for the thought of disjoint attribute-valued sets corresponding to distinct attributes.
Eman Hussein,Yousef Al-Qudah +4 more
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Interval-valued neutrosophic soft sets and its decision making [PDF]
In this paper, the notion of the interval valued neutrosophic soft sets (ivn−soft sets) is defined which is a combination of an interval valued neutrosophic sets [36] and a soft sets [30].
Irfan Deli
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A least squares approach to Principal Component Analysis for interval valued data [PDF]
Principal Component Analysis (PCA) is a well known technique the aim of which is to synthesize huge amounts of numerical data by means of a low number of unobserved variables, called components.
D'Urso, Pierpaolo, Giordani, Paolo
core
An Interval-Valued Fuzzy Soft Set Based Decision Making Approach Considering Weight
The algorithm to solve fuzzy decision making problems based on interval-valued fuzzy soft sets has been proposed. However, this algorithm can not consider the weight of parameter which is very important for decision maker.
Ma, Xiuqin, Hongwu, Qin
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A New Decision-Making Approach Using Bipolar Interval-Valued Fuzzy Soft Matrices
Based on what the fuzzy set theory has earned a lot of significant interest from researchers and has led to several important extensions. The bipolar fuzzy sets (BFSs) have gained a lot of applications in different fields.
A. Hazaymeh +4 more
semanticscholar +1 more source
New development of the neutrosophic fuzzy soft set framework using several aggregation operator techniques [PDF]
The soft set is a general mathematical technique for dealing with uncertainty. For this reason, the soft set theory has attracted a lot of attention from academics, particularly in the context of managing uncertainty in decision-making scenarios. However,
Ahmad A. Abubaker +3 more
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