Pythagorean 2-tuple linguistic aggregation operators in multiple attribute decision making

Wei, Guiwu; Lu, Mingyue; Alsaadi, Fuad E.; Hayat, Tasawar; Alsaedi, Ahmed

doi:10.3233/jifs-16715

Cited by 152 publications

(95 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In the future, the application of the proposed models and methods of SVNSs and INSs needs to be explored in the decision making [86][87][88][89][90][91][92][93][94][95][96][97][98][99], risk analysis and many other uncertain and fuzzy environment [100][101][102][103][104][105][106][107][108][109][110][111][112].…”

Section: Discussionmentioning

confidence: 99%

TODIM Method for Single-Valued Neutrosophic Multiple Attribute Decision Making

Wei

2017

Information

View full text Add to dashboard Cite

Abstract:Recently, the TODIM has been used to solve multiple attribute decision making (MADM) problems. The single-valued neutrosophic sets (SVNSs) are useful tools to depict the uncertainty of the MADM. In this paper, we will extend the TODIM method to the MADM with the single-valued neutrosophic numbers (SVNNs). Firstly, the definition, comparison, and distance of SVNNs are briefly presented, and the steps of the classical TODIM method for MADM problems are introduced. Then, the extended classical TODIM method is proposed to deal with MADM problems with the SVNNs, and its significant characteristic is that it can fully consider the decision makers' bounded rationality which is a real action in decision making. Furthermore, we extend the proposed model to interval neutrosophic sets (INSs). Finally, a numerical example is proposed.

show abstract

Section: Discussionmentioning

confidence: 99%

TODIM Method for Single-Valued Neutrosophic Multiple Attribute Decision Making

Wei

2017

Information

View full text Add to dashboard Cite

show abstract

“…defined some hesitant Pythagorean fuzzy Hamacher aggregation operators and applied these operators to MADM. Wei et al . developed some Pythagorean two‐tuple linguistic aggregation operators in MADM.…”

Section: Introductionmentioning

confidence: 99%

Pythagorean fuzzy power aggregation operators in multiple attribute decision making

Wei

2017

Int. J. Intell. Syst.

Self Cite

335

181

View full text Add to dashboard Cite

In this paper, we utilize power aggregation operators to develop some Pythagorean fuzzy power aggregation operators: Pythagorean fuzzy power average operator, Pythagorean fuzzy power geometric operator, Pythagorean fuzzy power weighted average operator, Pythagorean fuzzy power weighted geometric operator, Pythagorean fuzzy power ordered weighted average operator, Pythagorean fuzzy power ordered weighted geometric operator, Pythagorean fuzzy power hybrid average operator, and Pythagorean fuzzy power hybrid geometric operator. The prominent characteristic of these proposed operators are studied. Then, we have utilized these operators to develop some approaches to solve the Pythagorean fuzzy multiple attribute decision-making problems. Finally, a practical example is given to verify the developed approach and to demonstrate its practicality and effectiveness.

show abstract

“…Finally we propose the modifications of these theorems and equations. In the future, we shall continue working in the extension and application of the developed operators to other domains and fuzzy setting, such as picture fuzzy sets, dual hesitant fuzzy sets, and so on [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22].…”

Section: Resultsmentioning

confidence: 99%