[PDF] Top 20 SIMILARITY MEASURE OF INTERVAL VALUED VAGUE SETS TO MULTIPLE ATTRIBUTE DECISION MAKING
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SIMILARITY MEASURE OF INTERVAL VALUED VAGUE SETS TO MULTIPLE ATTRIBUTE DECISION MAKING
... fuzzy sets, which is a generalization of notion of Zadeh’s fuzzy set which was later on called vague set the concept given by Gau and Buehrer (1993), which is characterized by a membership function and a ... See full document
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Approaches to Multiple Attribute Decision Making Based on the I-IVIFHCA Operator with Interval-Valued Intuitionistic Fuzzy Information
... induced interval-valued intuitionistic fuzzy Hamacher correlated averaging operators based on the Hamacher operations, whose prominent characteristic is that they can not only consider the importance of the ... See full document
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A New Single valued Neutrosophic Distance for MABAC, TOPSIS and New Similarity Measure in Multi attribute Decision Making
... proper decision-making, Hwang and Yoon [4] originally introduced the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method for selecting the appropriate ...linguistic ... See full document
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Novel similarity measure for interval valued data based on overlapping ratio
... including decision making, data aggregation, ap- proximate reasoning, and machine ...the similarity between two objects captures the degree to which they are ...simplicity. Similarity is ... See full document
6
Multicriteria Decision-making Method using Cosine Similarity Measures for Reduct Fuzzy Sets of Interval-valued Fuzzy Sets
... The similarity measure is one of important tools for the degree of similarity between ...of similarity of items or sets are used in physical anthropology, numerical taxonomy, ecology, ... See full document
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Application of Interval Valued Fuzzy Soft Matrices in Decision Making Problem Using Similarity Measures
... . similarity measures of fuzzy soft set or fuzzy soft sets or generalized fuzzy soft sets has wide applications in many problems which contains uncertainty such as fuzzy clustering, image processing, ... See full document
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NEUTROSOPHIC REFINED SIMILARITY MEASURE BASED ON COTANGENT FUNCTION AND ITS APPLICATION TO MULTI-ATTRIBUTE DECISION MAKING
... tangent similarity measure proposed by Pramanik and Mondal [40] and Mondal and Pramanik [41], we propose a new cotangent similarity measure called “refined cotangent similarity ... See full document
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A New Single-valued Neutrosophic Distance for TOPSIS, MABAC and New Similarity Measure in Multi-Attribute Decision-Making
... science, decision-making extends from the single attribute to multiple ...proper decision-making and apply decision-making in the actual situation, Wang et ... See full document
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SOME ROUGH NEUTROSOPHIC SIMILARITY MEASURES AND THEIR APPLICATION TO MULTI ATTRIBUTE DECISION MAKING Surapati Pramanik *1 Kalyan Mondal 2
... cosine similarity measure for single valued neutrosophic sets based on cosine ...the similarity measures of SVNSs for multiple attribute group decision ... See full document
14
A New Approach on Multiple Attribute Decision Making with Interval-Valued Knowledge Measure
... operator, interval- valued intuitionistic fuzzy ordered weighted geometric (IVIFOWG) operator and the interval-valued intuitionistic fuzzy ordered hybrid geometric (IVIFHG) operator for ... See full document
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Hybrid Logarithm Similarity Measure Based MAGDM Strategy under SVNS Environment
... novel multi attribute group decision making strategy for single valued neutrosophic sets based on 22.. the weighted hybrid logarithm similarity measure.[r] ... See full document
17
INTUITIONISTIC FUZZY SIMILARITY MEASURE BASED ON TANGENT FUNCTION AND ITS APPLICATION TO MULTI-ATTRIBUTE DECISION MAKING
... new similarity measure for IFSs based on Sugeno integral [21] and embedded the measure in a robust clustering algorithm for pattern ...proposed similarity measure and several existing ... See full document
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Calculating the Degree of Similarity between Interval-Valued Fuzzy Numbers based on Map Distance
... of similarity between interval-valued fuzzy numbers [4], [5], [6], [7], [8], ...existing similarity measures have some ...of similarity between two interval-valued fuzzy ... See full document
6
Attribute Reduction in Interval and Set Valued Decision Information Systems
... to interval and set-valued information systems and fuzzy preference rela- ...for interval and set-valued information systems by defin- ing a new fuzzy preference ...in interval and ... See full document
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Index Terms - vague sets, triangular vague sets, triangular vague ordered weighted averaging operator, triangular vague hybrid
... Data mining, also known as knowledge discovery in databases, provides efficient automated techniques for discovering potentially useful, hidden knowledge or relations among data from large databases (Han & Kamber, ... See full document
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DEEP NEURAL CLASSIFICATION AND LOGIT REGRESSION BASED ENERGY EFFICIENT ROUTING IN WIRELESS SENSOR NETWORK
... using similarity measures using IF ...fuzzy sets. The IF sets will not agree with the fuzzy set on its nature of membership and non – membership ...IF sets to generate a pattern for each ... See full document
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Cross Entropy Measures of Bipolar and Interval Bipolar Neutrosophic Sets and Their Application for Multi-Attribute Decision Making
... developed a multi-criteria decision making (MCDM) approach based on cross entropy and TOPSIS.. 43.[r] ... See full document
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Model for Multiple Attribute Decision Making with Normal Distribution Interval Number Based on Choquet Integral
... multi-attribute decision making, the object things are complex, uncertain and Human thinking is ambiguous[1- ...Therefore, interval numbers are usually more adequate or sufficient to model ... See full document
5
On Interval Valued Bi-Cubic Vague Subgroups
... studied interval valued bi-cubic vague groups and their ...of interval valued vague group ...of vague set theory of Gau and Buehrer ... See full document
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Weighted Fuzzy Similarity Measure Based on Tangent Function and its Application to Medical Diagnosis
... Headache (0.5,0.5) ( 0.5, 0.5) (0.3, 0.7) (0.2, 0.8) (0.3, 0.7) Stomach pain ( 0.3, 0.7) (0.1, 0.9) (0.1, 0.9) (0.9, 0.1) (0.2, 0.8) Cough (0.8, 0.2) (0.7, 0.3) ( 0.8, 0.2) ( 0.4, 0.6) (0.8, 0.2) Throat pain ( 0.6, 0.4) ... See full document
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