Results 31 to 40 of about 13,837 (168)
Generalised Interval-Valued Fuzzy Soft Set
Journal of Applied Mathematics, 2012 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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The Evidential Reasoning Approach to Medical Diagnosis using Intuitionistic Fuzzy Dempster-Shafer Theory [PDF]
International Journal of Computational Intelligence Systems, 2015 For medical diagnosis, fuzzy Dempster-Shafer theory is extended to model domain knowledge under probabilistic and fuzzy uncertainty. However, there are some information loss using discrete fuzzy sets and traditional matching degree method.
Yanni Wang +3 more
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Journal of Mathematics, 2021 Multigranulation rough set theory is an important tool to deal with the problem of multicriteria information system. The notion of fuzzy β-neighborhood has been used to construct some covering-based multigranulation fuzzy rough set (CMFRS) models through
Zaibin Chang, Lingling Mao
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Estimating the volume of dirty money in Iran
MethodsX, 2020 In this study, the volume of dirty money in Iran was estimated. The data belonged to the period of 1997-2019, and was taken from the Central Bank of Iran (website: https://www.cbi.ir). Fuzzy logic was used to estimate the underground economy.
Anita Dowlatzadeh, Hossein Akbarifard
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A general theory of fuzzy plausibility measures
Journal of Mathematical Analysis and Applications, 1987 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A Theory for Measuring the Preference of Fuzzy Numbers
2020 IEEE 20th International Symposium on Computational Intelligence and Informatics (CINTI), 2020 Here, sigmoid function-based preference measures for intervals and fuzzy numbers are introduced, and their main properties are outlined. Also, formulas for the numerical computation of the proposed preference measures are presented. Next, it is demonstrated that the proposed preference measures for intervals and fuzzy numbers are asymptotically the ...
Dombi József, Jónás Tamás
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A Novel Picture Fuzzy Similarity Measure: Theory and Practical Applications
IEEE AccessSimilarity metrics serve as valuable tools for evaluating the resemblance between two datasets. While intuitionistic fuzzy sets have been widely used, picture fuzzy sets present enhanced capabilities in capturing ambiguity and uncertainty within real ...
Abdul Haseeb Ganie +3 more
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Novel Analysis of Fuzzy Fractional Emden-Fowler Equations within New Iterative Transform Method
Journal of Function Spaces, 2022 The analytical behavior of fractional differential equations is often puzzling and difficult to predict under uncertainty. It is crucial to develop a robust, extensive, and extremely successful theory to address these problems.
M. Mossa Al-Sawalha +3 more
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A Measurement Theory Characterization of a Class of Dissimilarity Measures for Fuzzy Description Profiles [PDF]
, 2020 We consider objects associated with a fuzzy set-based representation. By using a classic method of measurement theory, we characterize dissimilarity relations agreeing with a particular class of fuzzy dissimilarity measures. Dissimilarity measures in the considered class are those only depending on the attribute-wise distance of fuzzy description ...
Giulianella Coletti +2 more
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Mathematics, 2019 Distance measure and similarity measure have been applied to various multi-criteria decision-making environments, like talent selections, fault diagnoses and so on.
Songtao Shao, Xiaohong Zhang
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