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MULTIPLE ATTRIBUTE DECISION-MAKING METHOD UNDER HESITANT SINGLE VALUED NEUTROSOPHIC UNCERTAIN LINGUISTIC ENVIRONMENT

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Book Synopsis MULTIPLE ATTRIBUTE DECISION-MAKING METHOD UNDER HESITANT SINGLE VALUED NEUTROSOPHIC UNCERTAIN LINGUISTIC ENVIRONMENT by : QAISAR KHAN

Download or read book MULTIPLE ATTRIBUTE DECISION-MAKING METHOD UNDER HESITANT SINGLE VALUED NEUTROSOPHIC UNCERTAIN LINGUISTIC ENVIRONMENT written by QAISAR KHAN. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt: Smarandache was the first who introduced the idea of neutrosophic sets (NSs), which is further extension of the concepts of intuitionistic fuzzy sets (IFSs), interval valued intuitionistic fuzzy sets (IVIFSs) from philosophical perspective.

Multiple-Valued Neutrosophic Uncertain Linguistic Sets With Dombi Normalized Weighted Bonferroni Mean Operator and Their Applications in Multiple Attribute Decision Making Problem

Mathematics
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Genre : Mathematics
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Book Synopsis Multiple-Valued Neutrosophic Uncertain Linguistic Sets With Dombi Normalized Weighted Bonferroni Mean Operator and Their Applications in Multiple Attribute Decision Making Problem by : LIHUA YANG

Download or read book Multiple-Valued Neutrosophic Uncertain Linguistic Sets With Dombi Normalized Weighted Bonferroni Mean Operator and Their Applications in Multiple Attribute Decision Making Problem written by LIHUA YANG. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt: In order to take into account quantitative and qualitative information in real complex decision making issue, a multiple-valued neutrosophic uncertain linguistic set (MVNULS) is initially proposed, which includes the uncertain linguistic part and the multiple-valued neutrosophic set (MVNS). Consequently, it has the advantages of them in expressing evaluation information.

Multiple Attribute Decision-Making Method Using Linguistic Cubic Hesitant Variables

Business & Economics
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Genre : Business & Economics
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Book Synopsis Multiple Attribute Decision-Making Method Using Linguistic Cubic Hesitant Variables by : Jun Ye

Download or read book Multiple Attribute Decision-Making Method Using Linguistic Cubic Hesitant Variables written by Jun Ye. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt: Linguistic decision making (DM) is an important research topic in DM theory and methods since using linguistic terms for the assessment of the objective world is very fitting for human thinking and expressing habits. However, there is both uncertainty and hesitancy in linguistic arguments in human thinking and judgments of an evaluated object.

An Extended TOPSIS Method for Multiple Attribute Decision Making based on Interval Neutrosophic Uncertain Linguistic Variables

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Book Synopsis An Extended TOPSIS Method for Multiple Attribute Decision Making based on Interval Neutrosophic Uncertain Linguistic Variables by : Said Broumi

Download or read book An Extended TOPSIS Method for Multiple Attribute Decision Making based on Interval Neutrosophic Uncertain Linguistic Variables written by Said Broumi. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt: The interval neutrosophic uncertain linguistic variables can easily express the indeterminate and inconsistent information in real world, and TOPSIS is a very effective decision making method more and more extensive applications.

Some Generalized Single Valued Neutrosophic Linguistic Operators and Their Application to Multiple Attribute Group Decision Making

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Book Synopsis Some Generalized Single Valued Neutrosophic Linguistic Operators and Their Application to Multiple Attribute Group Decision Making by : Ruipu TAN

Download or read book Some Generalized Single Valued Neutrosophic Linguistic Operators and Their Application to Multiple Attribute Group Decision Making written by Ruipu TAN . This book was released on . Available in PDF, EPUB and Kindle. Book excerpt: This paper proposes a group decision making method based on entropy of neutrosophic linguistic sets and generalized single valued neutrosophic linguistic operators. This method is applied to solve the multiple attribute group decision making problems under single valued neutrosophic liguistic environment, in which the attribute weights are completely unknown

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