A q-rung orthopair fuzzy multi-criteria group decision making method for supplier selection based on a novel distance measure

Pınar, Adem; Boran, Fatih Emre

doi:10.1007/s13042-020-01070-1

Cited by 95 publications

(65 citation statements)

References 54 publications

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“…(3) According to Equation (12), the order of N 1 and N 2 does not influnce the final result, so the symmetry is satisfied.…”

Section: Distance Measure Between Q-snsmentioning

confidence: 99%

“…Peng and Liu [11] investigated the systematic transformation between the distance measure, the similarity measure, the entropy, and the inclusion measure for q-ROFSs. Considering the impact of the hesitation degree and the different shapes constructed by different qth order, Adem Pinar and Fatih Emre Boran [12] proposed a new distance measure to solve the supplier selection issue. Liang et al [13] developed q-rung orthopair fuzzy sets-based decision-theoretic rough sets for three-way decisions in the context of group decision making.…”

Section: Introductionmentioning

confidence: 99%

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An Extended VIKOR Method Based on q-Rung Orthopair Shadowed Set and Its Application to Multi-Attribute Decision Making

Wang¹,

Zhang²,

Yao³

2020

Symmetry

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In the multi-attribute decision making (MADM) process, the attribute values are sometimes provided by experts or the public in the form of words. To model the linguistic evaluation more accurately, this paper proposes the q-rung orthopair shadowed set (q-ROSS) to represent attribute values and extends the VIKOR (VIsekriterijumska optimizacija i KOmpromisno Resenje) method to solve MADM problems in the q-ROSS context. First, we propose the q-ROSS to express evaluation information. Some basic operation rules and distance measures are investigated accordingly. When the amount of data is large, the left and right endpoints of the collected interval numbers will obey symmetric normal distribution. Secondly, based on the normal distribution assumption, the collected data intervals are mapped to shadowed sets through a data processing approach. Furthermore, we extend the VIKOR model to tackle the MADM problem where the evaluation values are expressed by q-rung orthopair shadowed numbers. A location selection problem verifies the practicability of our method, and the effectiveness and superiority of the presented approach are reflected through comparative analysis.

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“…(3) According to Equation (12), the order of N 1 and N 2 does not influnce the final result, so the symmetry is satisfied.…”

Section: Distance Measure Between Q-snsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Extended VIKOR Method Based on q-Rung Orthopair Shadowed Set and Its Application to Multi-Attribute Decision Making

Wang¹,

Zhang²,

Yao³

2020

Symmetry

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show abstract

“…Liu and Huang [37] defined a new correlation measure based on linguistic scale function and developed a consensus reaching process for probabilistic linguistic q-rung orthopair fuzzy TOPSIS method. Pinar and Boran [38] used q-rung orthopair fuzzy TOPSIS and q-rung orthopair fuzzy ELECTRE to select the best supplier. Gao et al [39] developed q-rung interval-valued orthopair fuzzy VIKOR model.…”

Section: Introductionmentioning

confidence: 99%

New q-Rung Orthopair Hesitant Fuzzy Decision Making Based on Linear Programming and TOPSIS

Yang

Pang

2020

IEEE Access

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“…Moreover, to solve the problems that the existing operators cannot effectively aggregate some information, Shao and Zhuo [34] proposed two new curve integrals under the q-ROF environment, thus providing a new method for solving the MADM problem under discrete or continuous q-ROF information. Pinar and Boran [35] proposed a new distance measure applicable to q-ROFSs, etc.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Attribute Decision-Making Algorithm Using Q-Rung Orthopair Power Bonferroni Mean Operator and Its Application

Yang

Hou

2020

Mathematics

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The process of decision-making is subject to various influence factors and environmental uncertainties, which makes decision become a very complex task. As a new type of decision processing tool, the q-rung orthopair fuzzy sets can effectively deal with complex uncertain information arising in the decision process. To this end, this study proposes a new multi-attribute decision-making algorithm based on the power Bonferroni mean operator in the context of q-rung orthopair fuzzy information. In this method, in view of multi-attribute decision-making problem of internal relationship between multiple variables and extreme evaluation value, the Bonferroni mean operator is combined with power average operator. Then, the integrated operator is introduced into the q-rung orthopair fuzzy set to develop a new q-rung orthopair power Bonferroni mean operator, and some relevant properties of this new operator are discussed. Secondly, a multi-attribute decision-making method is established based on this proposed operator. Finally, the feasibility and superiority of our method are testified via a numerical example of investment partner selection in the tourism market.

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A q-rung orthopair fuzzy multi-criteria group decision making method for supplier selection based on a novel distance measure

Cited by 95 publications

References 54 publications

An Extended VIKOR Method Based on q-Rung Orthopair Shadowed Set and Its Application to Multi-Attribute Decision Making

An Extended VIKOR Method Based on q-Rung Orthopair Shadowed Set and Its Application to Multi-Attribute Decision Making

New q-Rung Orthopair Hesitant Fuzzy Decision Making Based on Linear Programming and TOPSIS

A Multi-Attribute Decision-Making Algorithm Using Q-Rung Orthopair Power Bonferroni Mean Operator and Its Application

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