Results 51 to 60 of about 103 (76)
Some of the next articles are maybe not open access.
Information Sciences, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shyi-Ming Chen
exaly +3 more sources
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shyi-Ming Chen
exaly +3 more sources
Two regression methods for hesitant multiplicative preference relations with different consistencies
Soft Computing, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Huchang Liao, Zhinan Hao, Zeshui Xu
exaly +3 more sources
International Journal of Fuzzy Systems, 2016
The purpose of this paper is to develop a general framework of group decision making with hesitant fuzzy preference relations based on the multiplicative consistency. First, we define a consistency index to measure whether or not a hesitant fuzzy preference relation is of acceptably multiplicative consistency.
Zhiming Zhang
exaly +2 more sources
The purpose of this paper is to develop a general framework of group decision making with hesitant fuzzy preference relations based on the multiplicative consistency. First, we define a consistency index to measure whether or not a hesitant fuzzy preference relation is of acceptably multiplicative consistency.
Zhiming Zhang
exaly +2 more sources
Applied Soft Computing Journal, 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
exaly +2 more sources
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
exaly +2 more sources
Applied Soft Computing Journal, 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
exaly +2 more sources
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
exaly +2 more sources
A new procedure for hesitant multiplicative preference relations
International Journal of Intelligent Systems, 2019Qingxian An
exaly +3 more sources
Decision making with multiplicative hesitant fuzzy linguistic preference relations
Neural Computing and Applications, 2017This study introduces a new type of preference relations called multiplicative hesitant fuzzy linguistic preference relations (MHFLPRs) to denote the asymmetrically qualitative hesitancy information of decision makers. Unlike hesitant fuzzy linguistic preference relations, MHFLPRs are defined on unbalanced scaled linguistic sets.
Jie Tang 0007, Fanyong Meng 0001
openaire +1 more source
Multistage decision making based on prioritization of hesitant multiplicative preference relations
Journal of Intelligent & Fuzzy Systems, 2017Hesitant multiplicative preference relation (HMPR) is a straightforward and efficient tool for representing hesitant fuzzy information in decision making. The aim of this paper is to develop a method to obtain priority vectors from HMPRs in the context of multistage decision-making (MSDM).
Yang Lin +2 more
openaire +1 more source
Journal of Intelligent & Fuzzy Systems, 2017
The hesitant fuzzy linguistic preference relations (HFLPRs) facilitate decision makers to express hesitant assessments in fuzzy decision making problems. It is important for the use of consistent HFLPRs since inconsistency leads to unreliable decision making results.
Liu, Hongbin, Jiang, Le, Xu, Zeshui
openaire +1 more source
The hesitant fuzzy linguistic preference relations (HFLPRs) facilitate decision makers to express hesitant assessments in fuzzy decision making problems. It is important for the use of consistent HFLPRs since inconsistency leads to unreliable decision making results.
Liu, Hongbin, Jiang, Le, Xu, Zeshui
openaire +1 more source

