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A 2-order additive fuzzy measure identification method based on hesitant fuzzy linguistic interaction degree and its application in credit assessment [PDF]

open access: yesScientific Reports
To reflect both fuzziness and hesitation in the evaluation of interactivity between attributes in the identification process of 2-order additive fuzzy measure, this work uses the hesitant fuzzy linguistic term set (HFLTS) to describe and depict the ...
Mu Zhang, Wen-jun Li, Cheng Cao
doaj   +2 more sources

Entropy Measures for Interval Neutrosophic Vague Sets and Their Application in Decision Making [PDF]

open access: yesNeutrosophic Sets and Systems, 2021
Entropy measure is an important tool in measuring uncertain information and plays a vital role in solving Multi Criteria Decision Making (MCDM). At present, various entropy measures in literature are developed to measure the degree of fuzziness. However,
Hazwani Hashim   +3 more
doaj   +1 more source

An MCDM Technique Using Cosine and Set-Theoretic Similarity Measures for Neutrosophic hypersoft set [PDF]

open access: yesNeutrosophic Sets and Systems, 2022
A similarity measure is used to tackle many issues that include indistinct and blurred information, excluding is not able to deal with the general fuzziness and obscurity of the problems that have various information.
Aiyared Iampan   +3 more
doaj   +1 more source

Research on decision method based on probability hesitation fuzzy comprehensive distance measure

open access: yesXibei Gongye Daxue Xuebao, 2023
Aiming at the defects of the existing probabilistic hesitation fuzzy distance measures, which require the number of membership degree to be consistent and the order to be rearranged, a probabilistic hesitation fuzzy multi-attribute decision making method
LIU Ying, GUAN Xin, WU Bin
doaj   +1 more source

A new non-probabilistic divergence measure of fuzzy matrix and its applications [PDF]

open access: yesSongklanakarin Journal of Science and Technology (SJST), 2021
Uncertainties and fuzziness are basic phenomena in human thinking and in many real-world objectives. In the existing literature of information theory various divergence measures are available for studying such phenomena in accordance to their ethos. In
Omdutt Sharma   +2 more
doaj   +1 more source

New Entropy, Similarity Measure of Intuitionistic Fuzzy Sets and their Applications in Group Decision Making [PDF]

open access: yesInternational Journal of Computational Intelligence Systems, 2013
In this paper, we propose a new entropy measure with geometrical interpretation of intuitionistic fuzzy sets. Compared with the entropy measure provided by Szmidt and Kacprzyk, the new entropy formula in this paper can measure both fuzziness and ...
Xia Liang, Cuiping Wei, Meimei Xia
doaj   +1 more source

On Uncertainty Measures of the Interval-Valued Hesitant Fuzzy Set

open access: yesAdvances in Fuzzy Systems, 2023
Interval-valued hesitant fuzzy sets (IVHFS), as a kind of decision information presenting tool which is more complicated and more scientific and more elastic, have an important practical value in multiattribute decision-making.
Yingjun Xu
doaj   +1 more source

An Advanced Uncertainty Measure Using Fuzzy Soft Sets: Application to Decision-Making Problems

open access: yesBig Data Mining and Analytics, 2021
In this paper, uncertainty has been measured in the form of fuzziness which arises due to imprecise boundaries of fuzzy sets. Uncertainty caused due to human’s cognition can be decreased by the use of fuzzy soft sets.
Nitin Bhardwaj, Pallvi Sharma
doaj   +1 more source

On Single-Valued Neutrosophic Entropy of order α [PDF]

open access: yesNeutrosophic Sets and Systems, 2016
Entropy is one of the measures which is used for measuring the fuzziness of the set. In this article, we have presented an entropy measure of order α under the single-valued neutrosophic set environment by considering the pair of their membership ...
Harish Garg, Nancy
doaj   +1 more source

A Complementary Dual of Single-Valued Neutrosophic Entropy with Application to MAGDM

open access: yesMathematics, 2022
A single-valued neutrosophic set (SVNS) is a subcategory of neutrosophic set that is used to represent uncertainty and fuzziness in three tiers, namely truthfulness, indeterminacy, and falsity.
Sonam Sharma, Surender Singh
doaj   +1 more source

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