Results 61 to 70 of about 103 (76)
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MANAGING HESITANT INFORMATION IN GDM PROBLEMS UNDER FUZZY AND MULTIPLICATIVE PREFERENCE RELATIONS
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2013In the process of group decision making (GDM), preference relations (e.g. fuzzy preference relation and multiplicative preference relation) are very popular tools to express decision makers' preferences, especially when a set of alternatives (or criteria) are compared.
Meimei Xia, Zeshui Xu
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Group decision making with multiplicative interval linguistic hesitant fuzzy preference relations
Information Sciences, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tang, J., Chen, S.-M., Meng, F.
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International Journal of Information Technology & Decision Making, 2014
As we may have a set of possible values when comparing alternatives (or criteria), the hesitant fuzzy preference relation becomes a suitable and powerful technique to deal with this case. This paper mainly focuses on the multiplicative consistency of the hesitant fuzzy preference relation. First of all, we explore some properties of the hesitant fuzzy
Huchang Liao, Zeshui Xu, Meimei Xia
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As we may have a set of possible values when comparing alternatives (or criteria), the hesitant fuzzy preference relation becomes a suitable and powerful technique to deal with this case. This paper mainly focuses on the multiplicative consistency of the hesitant fuzzy preference relation. First of all, we explore some properties of the hesitant fuzzy
Huchang Liao, Zeshui Xu, Meimei Xia
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Calculating priority weights from interval-valued multiplicative hesitant fuzzy preference relations
Soft Computing, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jie Tang 0007, Fanyong Meng 0001
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IEEE Transactions on Fuzzy Systems, 2020
In this article, we study how to manage the consistency and consensus in group decision-making (GDM) with hesitant multiplicative preference relations (HMPRs). First, an approach to develop the priority weight vector of an HMPR is presented. Then, the consistency index of an HMPR is defined for its consistency checking.
Zhiming Zhang 0002, Witold Pedrycz
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In this article, we study how to manage the consistency and consensus in group decision-making (GDM) with hesitant multiplicative preference relations (HMPRs). First, an approach to develop the priority weight vector of an HMPR is presented. Then, the consistency index of an HMPR is defined for its consistency checking.
Zhiming Zhang 0002, Witold Pedrycz
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Information Sciences, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhang, Zhang Z., Chen, S.-M.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhang, Zhang Z., Chen, S.-M.
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IEEE Transactions on Fuzzy Systems, 2019
This paper develops a new method for group decision making with hesitant fuzzy preference relations (HFPRs) considering the multiplicative consistency and consensus simultaneously. A consistency index of HFPR is introduced and the acceptable consistent HFPR is defined.
Shuping Wan +2 more
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This paper develops a new method for group decision making with hesitant fuzzy preference relations (HFPRs) considering the multiplicative consistency and consensus simultaneously. A consistency index of HFPR is introduced and the acceptable consistent HFPR is defined.
Shuping Wan +2 more
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International Journal of Fuzzy Systems, 2020
Unlike other fuzzy modellings, probabilistic fuzzy sets can reflect clearly the importance of different numerical values. In group decision-making (GDM) problems, it is quite common for decision-makers (DMs) to elicit their knowledge with probabilistic hesitant fuzzy preference relations (PHFPRs), in which consistency adjustment and alternatives ...
Feifei Jin +4 more
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Unlike other fuzzy modellings, probabilistic fuzzy sets can reflect clearly the importance of different numerical values. In group decision-making (GDM) problems, it is quite common for decision-makers (DMs) to elicit their knowledge with probabilistic hesitant fuzzy preference relations (PHFPRs), in which consistency adjustment and alternatives ...
Feifei Jin +4 more
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Neural Computing and Applications, 2017
Hesitant multiplicative preference relations (HMPRs) are utilized to describe situations where a decision maker gives several possible values by Saaty’s 1-9 scale in pairwise comparison. For further applications of HMPRs, this paper develops two priority methods based on data envelopment analysis (DEA) for group decision making.
Yang Lin, Ying-Ming Wang 0001
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Hesitant multiplicative preference relations (HMPRs) are utilized to describe situations where a decision maker gives several possible values by Saaty’s 1-9 scale in pairwise comparison. For further applications of HMPRs, this paper develops two priority methods based on data envelopment analysis (DEA) for group decision making.
Yang Lin, Ying-Ming Wang 0001
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2016 Chinese Control and Decision Conference (CCDC), 2016
Preference relations (PRs) are an effective tool to express people's opinions over alternatives. But it is usually difficult to give accurate information using crisp numbers. The main purpose of this paper is to propose the complementary triangular hesitant fuzzy preference relations (CTHFPRs) to solve the above correlative problem.
Hu Junhua, Yang Yan
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Preference relations (PRs) are an effective tool to express people's opinions over alternatives. But it is usually difficult to give accurate information using crisp numbers. The main purpose of this paper is to propose the complementary triangular hesitant fuzzy preference relations (CTHFPRs) to solve the above correlative problem.
Hu Junhua, Yang Yan
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