Some induced correlated aggregating operators with intuitionistic fuzzy information and their application to multiple attribute group decision making

Wei, Guiwu; Zhao, Xiaofei

doi:10.1016/j.eswa.2011.08.031

Cited by 204 publications

(78 citation statements)

References 33 publications

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“…Due to the fuzziness and uncertainty of the alternatives in different attributes, attribute values in decision making problems are not always represented as real numbers, and they can be described as fuzzy numbers in more suitable occasions, such as interval-valued numbers [3,4], triangular fuzzy variables [5][6][7][8], linguistic variables [9][10][11][12][13] or uncertain linguistic variables [14][15][16][17][18][19][20][21], intuitionistic fuzzy numbers (IFSs) [22][23][24][25][26][27] or interval-valued intuitionistic fuzzy numbers (IVIFSs) [28][29][30][31], and SVNSs [32] or INSs [33]. Since Fuzzy set (FS), which is a very useful tool to process fuzzy information, was firstly proposed by Zadeh [34], it has been regarded as an useful tool to solve MADM [35,36], fuzzy logic [37], and patterns recognition [38].…”

Section: Introductionmentioning

confidence: 99%

TODIM Method for Single-Valued Neutrosophic Multiple Attribute Decision Making

Wei

2017

Information

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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.

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Section: Introductionmentioning

confidence: 99%

TODIM Method for Single-Valued Neutrosophic Multiple Attribute Decision Making

Wei

2017

Information

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“…IFS is constructed by a membership degree and a nonmembership degree, and can therefore depict the fuzzy character of data more comprehensively and in greater detail. In the past decades, many intuitionistic fuzzy information aggregation operators have been proposed [3][4][5][6][7][8][9][10][11][12][13][14]. More recently, the Pythagorean fuzzy set (PFS) [15,16] has appeared as an effective tool for depicting the uncertainty of multiple-attribute decision-making (MADM) problems.…”

Section: Introductionmentioning

confidence: 99%

Approaches to Multiple-Attribute Decision-Making Based on Pythagorean 2-Tuple Linguistic Bonferroni Mean Operators

Tang

Huang

2018

Algorithms

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Abstract:In this paper, we investigate multiple-attribute decision-making (MADM) with Pythagorean 2-tuple linguistic numbers (P2TLNs). Then, we combine the weighted Bonferroni mean (WBM) operator and weighted geometric Bonferroni mean (WGBM) operator with P2TLNs to propose the Pythagorean 2-tuple linguistic WBM (P2TLWBM) operator and Pythagorean 2-tuple linguistic WGBM (P2TLWGBM) operator; MADM methods are then developed based on these two operators. Finally, a practical example for green supplier selection is given to verify the developed approach and to demonstrate its practicality and effectiveness.

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“…To date, China has not yet perfected the publication of scientific papers using the academic evaluation influence system [10,12]. This makes it difficult to perform objective and comprehensive assessments of the academic influence of published scientific papers [11]. Online papers published in many networks are not readily recognized, resulting in the loss of a large number of high-quality, highly impactful research results, which in turn affects the publication of scientific papers and their further development and expansion in relevant fields [9].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of scientific publications with hesitant fuzzy uncertain linguistic and semantic information

Xing

Huang

2015

IFS

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Abstract. Scientific and technological papers play a fundamental role in the scientific and technological innovation of countries. The quality control of scientific and technological articles is vital to the journals and management of personnel. This paper investigates multiple attribute decision-making problems with the application of hesitant fuzzy uncertain linguistic information. Motivated by the ideal traditional I-COA operator, an induced hesitant fuzzy uncertain linguistic correlated averaging (IHFULCA) operator is developed. The IHFULCA operator was used to develop approaches to solve hesitant fuzzy uncertain linguistic multiple attribute decision-making problems. Finally, a practical example for evaluating the academic value of scientific and technological papers is provided to verify the developed approach and demonstrate its practicality and effectiveness.

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Some induced correlated aggregating operators with intuitionistic fuzzy information and their application to multiple attribute group decision making

Cited by 204 publications

References 33 publications

TODIM Method for Single-Valued Neutrosophic Multiple Attribute Decision Making

TODIM Method for Single-Valued Neutrosophic Multiple Attribute Decision Making

Approaches to Multiple-Attribute Decision-Making Based on Pythagorean 2-Tuple Linguistic Bonferroni Mean Operators

Evaluation of scientific publications with hesitant fuzzy uncertain linguistic and semantic information

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