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An overview of pink eye infection to evaluate its medications: group decision-making approach with 2-tuple linguistic T-spherical fuzzy WASPAS method. [PDF]
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The Multiplicative Consistency Index of Hesitant Fuzzy Preference Relation
IEEE Transactions on Fuzzy Systems, 2016Hesitant fuzzy preference relation (HFPR) shows to be a unique and suitable technique to integrate all the values of decision makers when comparing pairwise alternatives (or criteria), while the consistency index of a HFPR determines the accuracy and reliability.
Haifeng Liu, Zeshui Xu, Huchang Liao
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Information Sciences, 2020
Abstract To reduce the damage caused by earthquakes, the paper develops a decision-making method under uncertainty, which validly addresses the site selection for earthquake shelters. Since site selection after earthquakes is an emergency decision-making process, during which there always exists inaccuracy and complexity, it is more rational to adopt
Hangyao Wu, Peijia Ren, Zeshui Xu
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Abstract To reduce the damage caused by earthquakes, the paper develops a decision-making method under uncertainty, which validly addresses the site selection for earthquake shelters. Since site selection after earthquakes is an emergency decision-making process, during which there always exists inaccuracy and complexity, it is more rational to adopt
Hangyao Wu, Peijia Ren, Zeshui Xu
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Consensus building for hesitant fuzzy preference relations with multiplicative consistency
Computers & Industrial Engineering, 2019Abstract Considering that consensus is an essential part of a group decision-making process, this study focuses on building consensus for hesitant fuzzy preference relations (HFPRs) with multiplicative consistency. To achieve this goal, firstly, a new multiplicative consistency concept for the HFPR is proposed.
Jian Li, Jian-qiang Wang, Jun-hua Hu
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On the use of multiplicative consistency in hesitant fuzzy linguistic preference relations
Knowledge-Based Systems, 2014As a new preference structure, the hesitant fuzzy linguistic preference relation (HFLPR) was recently introduced by Rodriguez, Martinez, and Herrera to efficiently address situations in which the decision makers (DMs) are hesitant about several possible linguistic terms for the preference degrees over paired comparisons of alternatives.
Zhiming Zhang, Chong Wu
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Information Sciences, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Meng, F., Chen, S.-M., Tang, J.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Meng, F., Chen, S.-M., Tang, J.
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A decision support model for group decision making with hesitant multiplicative preference relations
Information Sciences, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhang, Zhiming, Wu, Chong
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Applied Soft Computing, 2014
We investigate the deviation of the priority weights from HMPRs under GDM.Based on the α-normalization and β-normalization, we develop two models to derive the weights from HMPRs.Some numerical examples are given to illustrate the proposed models.
Zhiming Zhang, Chong Wu
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We investigate the deviation of the priority weights from HMPRs under GDM.Based on the α-normalization and β-normalization, we develop two models to derive the weights from HMPRs.Some numerical examples are given to illustrate the proposed models.
Zhiming Zhang, Chong Wu
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International Journal of Fuzzy Systems, 2016
The hesitant multiplicative preference relation (HMPR) is a newly developed preference structure that uses an unsymmetrical scale (Saaty’s 1–9 scale) to express the decision makers’ (DMs’) preferences instead of the symmetrical scale (0.1–0.9 scale) in a hesitant fuzzy preference relation.
Zhiming Zhang
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The hesitant multiplicative preference relation (HMPR) is a newly developed preference structure that uses an unsymmetrical scale (Saaty’s 1–9 scale) to express the decision makers’ (DMs’) preferences instead of the symmetrical scale (0.1–0.9 scale) in a hesitant fuzzy preference relation.
Zhiming Zhang
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Applied Soft Computing, 2016
Display Omitted We investigate the deviation of the priority weights from incomplete HFPRs under GDM.Based on the α -normalization, we develop a model to derive the weights from incomplete HFPRs.Based on the β -normalization, we develop a method to derive the weights from incomplete HFPRs.Several numerical examples are given to illustrate the proposed ...
Zhiming Zhang
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Display Omitted We investigate the deviation of the priority weights from incomplete HFPRs under GDM.Based on the α -normalization, we develop a model to derive the weights from incomplete HFPRs.Based on the β -normalization, we develop a method to derive the weights from incomplete HFPRs.Several numerical examples are given to illustrate the proposed ...
Zhiming Zhang
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