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[PDF] Top 20 Multicriteria Decision-making Method using Cosine Similarity Measures for Reduct Fuzzy Sets of Interval-valued Fuzzy Sets

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Multicriteria Decision-making Method using Cosine Similarity Measures for Reduct Fuzzy Sets of Interval-valued Fuzzy Sets

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

5

A Comparative Analysis on Euclidean Measure In Intuitionistic Fuzzy Set And Interval-Valued Intuitionistic Fuzzy Set

A Comparative Analysis on Euclidean Measure In Intuitionistic Fuzzy Set And Interval-Valued Intuitionistic Fuzzy Set

... distance measures that has been used to solve many theoretical and practical issues in fuzzy ...This method is widely use in many fields such as communication [2], engineering [3], chemistry [4], ... See full document

7

SIMILARITY MEASURE OF INTERVAL
VALUED VAGUE SETS TO MULTIPLE
ATTRIBUTE DECISION MAKING

SIMILARITY MEASURE OF INTERVAL VALUED VAGUE SETS TO MULTIPLE ATTRIBUTE DECISION MAKING

... intuitionstic 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 ... See full document

13

Multiattribute decision making models and methods using interval valued fuzzy sets

Multiattribute decision making models and methods using interval valued fuzzy sets

... of interval-valued fuzzy sets is the generalization of the concept of fuzzy ...of interval-valued fuzzy sets is well suited to dealing with ...Recently, ... See full document

9

From interval valued data to general type 2 fuzzy sets

From interval valued data to general type 2 fuzzy sets

... In this example we use data collected during an exercise carried out in collaboration with CESG, the UK Government’s National Technical Authority for Information Assurance. A group of cyber-security professionals was ... See full document

23

Weighted Fuzzy Similarity Measure Based on Tangent Function and its Application to Medical Diagnosis

Weighted Fuzzy Similarity Measure Based on Tangent Function and its Application to Medical Diagnosis

... tangent similarity measures and weighted tangent similarity measures for fuzzy ...presents decision making methodology based on weighted tangent similarity ... See full document

7

Max-norm and Square-max Norm of Fuzzy Matrices

Max-norm and Square-max Norm of Fuzzy Matrices

... area. Using these norm we can define conditional number to check whether a system of linear equation is ill posed or well ...of fuzzy matrices can take a effective contribution to solve a fuzzy ... See full document

16

Analysing fuzzy sets through combining measures of similarity and distance

Analysing fuzzy sets through combining measures of similarity and distance

... The weights of the comparative measure play an important role in determining the difference between different pairs of FSs which result in equal values from a measure. Table II shows the difference between pairs (A, B) ... See full document

8

Type-2 Fuzzy Soft Sets on Fuzzy Decision Making Problems

Type-2 Fuzzy Soft Sets on Fuzzy Decision Making Problems

... Definition 2.3. A type-2 fuzzy soft set ( c , A) over the universal set X is a set of all parameterized family of subsets of the type-2 fuzzy set A. For every e ∈ A, A ⊆ E there exists c ( ) e such that c : ... See full document

7

NC-Cross Entropy Based MADM under Neutrosophic Cubic Set Environment

NC-Cross Entropy Based MADM under Neutrosophic Cubic Set Environment

... Single valued neutrosophic cross-entropy for multi criteria decision making problems. Improved cross entropy measures of single valued neutrosophic sets and interval neutrosophic 633[r] ... See full document

30

On Casaro Sequence Space of Fuzzy Numbers Defined by a Modulus Function

On Casaro Sequence Space of Fuzzy Numbers Defined by a Modulus Function

... of fuzzy sets and fuzzy set operations were first introduced by Zadeh ...of fuzzy sets such as fuzzy topological spaces, similarity relations and fuzzy orderings, ... See full document

6

Type – 2 Fuzzy Soft Sets and Decision Making

Type – 2 Fuzzy Soft Sets and Decision Making

... The decision making process is of key importance for functions such as inventory control, investments, personal actions, new-product development and allocation of resources as well as many ...others. ... See full document

7

Investment Decision Making Problem Using Interval Valued Fuzzy Soft Matrix

Investment Decision Making Problem Using Interval Valued Fuzzy Soft Matrix

... of interval valued fuzzy soft matrices to investment of funds in investment decision making problem, according to these parameters such as safety of funds, high return, maximum profit ... See full document

9

Porphyry Copper Mineral Prospectivity Mapping Using Interval Valued Fuzzy Sets Topsis Method in Central Iran

Porphyry Copper Mineral Prospectivity Mapping Using Interval Valued Fuzzy Sets Topsis Method in Central Iran

... TOPSIS method has been specified in support of MPM in this research for the first ...time. Using this method all significant factors for a knowledge driven modeling system, like allocation ... See full document

6

On sequences of fuzzy sets and fuzzy set-valued mappings

On sequences of fuzzy sets and fuzzy set-valued mappings

... (i) fuzzy set-valued optimization, (ii) sta- bility theory and sensitivity analysis for fuzzy mathematical models, ...Some fuzzy mathematical model outputs the fuzzy set of optimal ... See full document

19

Row and Column-Max-Average Norm and Max-Min Norm of Fuzzy Matrices

Row and Column-Max-Average Norm and Max-Min Norm of Fuzzy Matrices

... on fuzzy matrices. Using this operators we define different types of norm such as row-max-average norm, column- max-average ...norm. Using these norm we can define conditional number to check whether ... See full document

15

MULTI-CRITERIA GROUP DECISION-MAKING USING AN EXTENDED EDAS METHOD WITH INTERVAL TYPE-2 FUZZY SETS

MULTI-CRITERIA GROUP DECISION-MAKING USING AN EXTENDED EDAS METHOD WITH INTERVAL TYPE-2 FUZZY SETS

... (EDAS) method. This method was also extended for decision-making in fuzzy environment and was applied to supplier selection problem (Keshavarz Ghorabaee et ...this method are not ... See full document

21

Reliability Analysis of a Powerloom Plant Using Interval Valued Intuitionistic  Fuzzy Sets

Reliability Analysis of a Powerloom Plant Using Interval Valued Intuitionistic Fuzzy Sets

... of fuzzy sets. Thus, the new ap- proach using IVIFS provides comprehensive results and rules out under/over estimation of reliability of the po- werloom ... See full document

9

Developing Fuzzy TOPSIS Method based on Interval valued Fuzzy Sets

Developing Fuzzy TOPSIS Method based on Interval valued Fuzzy Sets

... group decision making problems under fuzzy environment was published by Chen ...hierarchical fuzzy TOPSIS method that has ability to consider the hierarchy among the attributes and ... See full document

12

A Multi-Criteria Decision Making Approach Based on Complement of Interval-Valued Fuzzy Soft Sets

A Multi-Criteria Decision Making Approach Based on Complement of Interval-Valued Fuzzy Soft Sets

... correct decision making is ...of interval-valued fuzzy soft sets have been ...of Interval-Valued fuzzy soft sets is proposed with an example to ... See full document

8

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