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[PDF] Top 20 ROUGH BIPOLAR NEUTROSOPHIC SET

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ROUGH BIPOLAR NEUTROSOPHIC SET

ROUGH BIPOLAR NEUTROSOPHIC SET

... Bipolar neutrosophic set theory and rough neutrosophic set theory are emerging as powerful tool for dealing with uncertainty, and indeterminate, incomlete, and inprecise ... See full document

11

About Rough Neutrosophic Soft Sets Theory and Study Their Properties

About Rough Neutrosophic Soft Sets Theory and Study Their Properties

... fuzzy set, vague set, intuitionistic fuzzy set, L-fuzzy set etc are used as a mathematical tools for solving problems based on uncertainties or ambiguous in ...soft set which was ... See full document

8

MADM Strategy Based on Some Similarity Measures in Interval Bipolar neuTrosophic Set Environment

MADM Strategy Based on Some Similarity Measures in Interval Bipolar neuTrosophic Set Environment

... The remaining of the article is organized as follows. Section 2 presents some concepts concerned with BFSs, BIFSs, BNSs, and IBNSs. Section 3 introduces new similarity measures based on Hamming and Euclidean distances. ... See full document

18

Cosine Similarity Measure Of Rough Neutrosophic Sets And Its Application In Medical Diagnosis

Cosine Similarity Measure Of Rough Neutrosophic Sets And Its Application In Medical Diagnosis

... of neutrosophic set, single valued neutrosophic set, cosine similarity are presented ...3, rough neutrosophic cosine similarity measure of rough neutrosophic sets ... See full document

9

More on Intuitionistic Neutrosophic Soft Sets

More on Intuitionistic Neutrosophic Soft Sets

... the neutrosophic set theory, such as Bhowmik and ...neutrosophic set”. In [14], Wang et al. proposed another extension of neutrosophic set which is” single valued ...Soft ... See full document

12

SOME ROUGH NEUTROSOPHIC SIMILARITY MEASURES AND THEIR APPLICATION TO MULTI ATTRIBUTE DECISION MAKING Surapati Pramanik *1 Kalyan Mondal 2

SOME ROUGH NEUTROSOPHIC SIMILARITY MEASURES AND THEIR APPLICATION TO MULTI ATTRIBUTE DECISION MAKING Surapati Pramanik *1 Kalyan Mondal 2

... fuzzy set in order to deal with ...the neutrosophic set. To use the concept of neutrosophic set in practical fields such as real scientific and engineering applications, Wang et ...of ... See full document

14

Shortest Path Problem by Minimal Spanning Tree Algorithm using Bipolar
Neutrosophic Numbers

Shortest Path Problem by Minimal Spanning Tree Algorithm using Bipolar Neutrosophic Numbers

... network. Neutrosophic set theory is used when incomplete, inconsistancy and indeterminacy ...paper, Bipolar Neutrosophic Numbers are used in Minimal Spanning Tree algorithm for finding the ... See full document

9

Determinant Theory for Fuzzy Neutrosophic Soft Matrices

Determinant Theory for Fuzzy Neutrosophic Soft Matrices

... The complexity of problems in economics, engineering, environmental sciences and social sciences which cannot be solved by the well known methods of classical Mathematics pose a great difficulty in today’s practical ... See full document

18

On bipolar fuzzy rough continuous functions

On bipolar fuzzy rough continuous functions

... of bipolar fuzzy sets was introduced by Zhang [13] and Muthuraj ...fuzzy rough continuous ...of Bipolar fuzzy rough set and bipolar fuzzy rough topology ... See full document

6

Application of Neutrosophic Rough Set in Multi Criterion Decision Making on two universal sets

Application of Neutrosophic Rough Set in Multi Criterion Decision Making on two universal sets

... The rough sets theory introduced by Pawlak [10] is an excellent mathematical tool for the analysis of uncertain, inconsistency and vague description of ...objects. Neutrosophic sets and rough sets ... See full document

8

A study on G neutrosophic soft set in 
		decision making problem

A study on G neutrosophic soft set in decision making problem

... Soft Set: Let U be universal set and E be the parameters which is of Neutrosophic nature and also Γ be the another set of parameters which indicates the brand of the ...the set of all ... See full document

5

BAT ALGORITHM FOR ROUGH SET ATTRIBUTE REDUCTION

BAT ALGORITHM FOR ROUGH SET ATTRIBUTE REDUCTION

... velocity may reach up to 15 in some cases, which indicates 15 attributes might be changed at certain times. One of particle swarm algorithm founders Kennedy stated that when the maximum velocity is too high, particles ... See full document

8

Autonomous clustering using rough set theory

Autonomous clustering using rough set theory

... the set of standard deviations of the unique similarity values corresponding to the objects in each ...the set of appropriate distances has been reduced to exclude distances between clusters lying at ... See full document

33

Vol 3, No 9 (2012)

Vol 3, No 9 (2012)

... ough set theory is a mathematical tool to deal with incomplete and imprecise data and topology is the study of invariance of a space under topological transformations known as ...on rough sets. We defined ... See full document

9

Applications of Neutrosophic N -Structures in n-Ary  Groupoids

Applications of Neutrosophic N -Structures in n-Ary Groupoids

... at neutrosophic n-ary N -subgroupoids, the (α, β, γ)- level set, the intersection of neutrosophic n-ary N -subgroupoids, neutrosophic n-ary N - subgroupoid products, ε-neutrosophic ... See full document

16

Cross Entropy Measures of Bipolar and Interval Bipolar Neutrosophic Sets and Their Application for Multi-Attribute Decision Making

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

23

A Rough Set View on Bayes Theorem

A Rough Set View on Bayes Theorem

... Rough set theory offers new perspective on Bayes’ ...by rough set theory reveals that any data set (decision table) satisfies the total probability theorem and Bayes’ ...the ... See full document

12

Retrieving the Missing Information from Information Systems Using Rough Set, Covering Based Rough Set and Soft Set

Retrieving the Missing Information from Information Systems Using Rough Set, Covering Based Rough Set and Soft Set

... between rough set and covering based ...of rough set, attribute values are known but there are not enough attributes (or attribute domains are too coarse) to identify a single object by their ... See full document

5

A Rough Set Formalization of Quantitative Evaluation with Ambiguity

A Rough Set Formalization of Quantitative Evaluation with Ambiguity

... the set of re- lations identified by the computer H (hypothesis data) with the one identified by humans R (reference data), the per- formance result is obtained by computing some measure defined over the two ... See full document

7

1.Rough convergence in 2-normed spaces

1.Rough convergence in 2-normed spaces

... of rough convergence, rough Cauchy sequence and the set of rough limit points of a sequence and obtained rough con- vergence criteria associated with this set in 2-normed ...this ... See full document

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