Assessing the rockburst risk for deep shafts via distance-based multi-criteria decision making approaches with hesitant fuzzy information

2019 ◽  
Vol 260 ◽  
pp. 105211 ◽  
Author(s):  
Weizhang Liang ◽  
Guoyan Zhao ◽  
Xi Wang ◽  
Jie Zhao ◽  
Chunde Ma
Keyword(s):  
Decision Making ◽  
Multi Criteria Decision Making ◽  
Fuzzy Information

An Approach Based on Definite Integrals to Multi-Criteria Decision Making with Correlative Intuitionistic Fuzzy Information

2016 ◽  
Vol 24 (06) ◽  
pp. 807-829 ◽  
Author(s):  
Shan Yu ◽  
Zeshui Xu
Keyword(s):  
Decision Making ◽  
Fuzzy Measure ◽  
Multi Criteria Decision Making ◽  
Fuzzy Information ◽  
Definite Integrals ◽  
Intuitionistic Fuzzy ◽  
Technology Improvement ◽  
Fusion Methods

Integration plays a very important role in the fusion methods. In this paper, we put forward the subtraction and division definite integrals based on the fuzzy measure and the admissible order for aggregating not only discrete but also continuous correlative intuitionistic fuzzy information. These definite integrals are implemented by constructing the integrands and the integral limits respectively, and based on which an approach to multi-criteria decision making with correlative intuitionistic fuzzy information is developed. Finally, an illustrative example involving technology improvement of Midwest American Manufacturing Corp is employed to verify the practicality and effectiveness of our approach.

Satisfaction Degree Based Interactive Decision Making under Hesitant Fuzzy Environment with Incomplete Weights

2014 ◽  
Vol 22 (04) ◽  
pp. 553-572 ◽  
Author(s):  
Huchang Liao ◽  
Zeshui Xu
Keyword(s):  
Decision Making ◽  
Hesitant Fuzzy Set ◽  
Optimization Models ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Fuzzy Information ◽  
Satisfaction Degree ◽  
Interactive Decision Making ◽  
New Research ◽  
Topsis Technique

Multi-criteria decision making with hesitant fuzzy information is a new research topic since the hesitant fuzzy set was firstly proposed. This paper investigates a multi-criteria decision making problem where the weight information is partially known. We firstly propose the hesitant fuzzy positive ideal solution and the hesitant fuzzy negative ideal solution. Motivated by the TOPSIS (Technique for Order Preference by Similarity to an ideal Solution) method, we definite the satisfaction degree of an alternative, based on which several optimization models are derived to determinate the weights. Subsequently, in order to make a more reasonable decision, we introduce an interactive method based on some optimization models for multi-criteria decision making problems with hesitant fuzzy information. Finally, a practical example on evaluating the service quality of airlines is provided to illustrate our models and method.

An ORESTE approach for multi-criteria decision-making with probabilistic hesitant fuzzy information

2020 ◽  
Vol 11 (7) ◽  
pp. 1591-1609 ◽  
Author(s):  
Jian Li ◽  
Qiongxia Chen ◽  
Li-li Niu ◽  
Zhong-xing Wang
Keyword(s):  
Decision Making ◽  
Multi Criteria Decision Making ◽  
Fuzzy Information

Hesitant fuzzy information measures and their applications in multi-criteria decision making

2015 ◽  
Vol 47 (1) ◽  
pp. 62-76 ◽  
Author(s):  
Junhua Hu ◽  
Xiaolong Zhang ◽  
Xiaohong Chen ◽  
Yongmei Liu
Keyword(s):  
Decision Making ◽  
Multi Criteria Decision Making ◽  
Fuzzy Information ◽  
Information Measures

An improved fuzzy TODIM method based on entropy measure under Intuitionistic Fuzzy Information

2021 ◽  
Vol 23 (05) ◽  
pp. 464-470
Author(s):  
Sunit Kumar ◽  
◽  
Satish Kumar ◽  
Keyword(s):  
Decision Making ◽  
Fuzzy Set ◽  
Intuitionistic Fuzzy Set ◽  
Score Function ◽  
Entropy Measure ◽  
Multi Criteria Decision Making ◽  
Fuzzy Information ◽  
Numerical Example ◽  
Intuitionistic Fuzzy ◽  
Todim Method

Intuitionistic fuzzy set (IFS) is one of the most extensive and important tool to accommodate more uncertainties than existing fuzzy set structures. In the present paper, we describe an improved entropy based on TODIM procedure for handling multi-criteria decision-making (MCDM) under IF setting and also the weight information is partially known. First, we study the basic notions and operating laws of IFSs, also the accuracy and score function of it. The new entropy has been proposed. Secondly, the IF information-based decision-making technique for MCDM is presented. Lastly, a numerical example is given related, to demonstrate that their results are credible and feasible.

FIF: A fuzzy information fusion algorithm based on multi-criteria decision making

2014 ◽  
Vol 58 ◽  
pp. 23-32 ◽  
Author(s):  
Rita A. Ribeiro ◽  
António Falcão ◽  
André Mora ◽  
José M. Fonseca
Keyword(s):  
Decision Making ◽  
Information Fusion ◽  
Multi Criteria Decision Making ◽  
Fuzzy Information ◽  
Fusion Algorithm
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