Results 151 to 160 of about 448 (201)

The Multiplicative Consistency Index of Hesitant Fuzzy Preference Relation

IEEE Transactions on Fuzzy Systems, 2016
Hesitant 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.
Huchang Liao, Zeshui Xu
exaly   +2 more sources

On the use of multiplicative consistency in hesitant fuzzy linguistic preference relations

Knowledge-Based Systems, 2014
As 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
exaly   +2 more sources

Additive consistency analysis and improvement for hesitant fuzzy preference relations

Expert Systems With Applications, 2018
Abstract Hesitant fuzzy preference relation (HFPR) is an effective tool to elicit decision makers’ hesitant preference information over alternatives, and consistency analysis is of great importance for an HFPR since inconsistent judgments may result in unreasonable results.
Zhen Zhang, Qingxing Dong
exaly   +2 more sources

On priority weights and consistency for incomplete hesitant fuzzy preference relations

Knowledge-Based Systems, 2018
Abstract The hesitant fuzzy preference relation (HFPR) is a useful tool for decision makers to elicit their preference information over a set of alternatives. In this paper, it is first proposed an approach to deriving a priority weight vector from an incomplete HFPR using the logarithmic least squares method. Based on the priority weight vector, the
Wenyu Yu, Chonghui Guo, Zhen Zhang
exaly   +2 more sources

Additive Consistency of Hesitant Fuzzy Linguistic Preference Relation With a New Expansion Principle for Hesitant Fuzzy Linguistic Term Sets

IEEE Transactions on Fuzzy Systems, 2019
Hesitant fuzzy linguistic preference relation (HFLPR) is a new preference structure that the decision makers (DMs) are hesitant about several possible linguistic terms of preference information for pairwise comparison between alternatives. This paper examines the additive consistency of HFLPR with a new expansion principle for hesitant fuzzy linguistic
Huayou Chen, Peng Wu, Ligang Zhou
exaly   +2 more sources

Some consistency measures of extended hesitant fuzzy linguistic preference relations

Information Sciences, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hai Wang, Zeshui Xu
exaly   +2 more sources

A decision support model for group decision making with hesitant fuzzy preference relations

Knowledge-Based Systems, 2015
In this paper, we develop a decision support model that simultaneously addresses the consistency and consensus for group decision making based on hesitant fuzzy preference relations. The concepts of a consistency index and a consensus index are introduced. Two convergent algorithms are proposed in the developed support model.
Zhiming Zhang
exaly   +2 more sources

Multi-criteria group decision making with incomplete hesitant fuzzy preference relations

Applied Soft Computing Journal, 2015
Abstract In order to simulate the hesitancy and uncertainty associated with impression or vagueness, a decision maker may give her/his judgments by means of hesitant fuzzy preference relations in the process of decision making. The study of their consistency becomes a very important aspect to avoid a misleading solution.
Zhiming Zhang
exaly   +2 more sources

Fuzzy C-means clustering with hesitant fuzzy linguistic preference relation

Journal of Intelligent & Fuzzy Systems, 2023
With the advancement of technology and growing social demand, large scale group decision making has gained significant importance in the field of decision making. Clustering analysis plays a crucial role in enhancing the efficiency of large scale group decision making processes.
Zhou, Xueling, Sun, Lei, Wei, Cuiping
openaire   +1 more source

Group decision making based on hesitant fuzzy ranking of hesitant fuzzy preference relations

Journal of Intelligent & Fuzzy Systems, 2019
Hesitant fuzzy sets (HFSs) play a dominant role in the decision making process. Different tools are developed to attract the decision makers (DMs) in making the effective decision, the hesitant fuzzy preference relation (HFPR) is one of the important implementation of them.
Muhammad Sarwar Sindhu, Tabasam Rashid, M. Khan   +2 more
openaire   +1 more source