International Journal of Computational Intelligence Systems

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Volume 12, Issue 2, 2019, Pages 842 - 854

A Novel Approach to Fuzzy Cognitive Map Based on Hesitant Fuzzy Sets for Modeling Risk Impact on Electric Power System

Authors
Xiaodi Liu1, Zengwen Wang2, *, Shitao Zhang1, Jiashu Liu3
1School of Mathematics and Physics, Anhui University of Technology, Ma'anshan, Anhui 243002, China
2Researching Center of Social Security, Wuhan University, Wuhan, Hubei 430072, China
3School of Business, Anhui University of Technology, Ma'anshan, Anhui 243002, China
*Corresponding author. Email: wzwnjing@163.com
Corresponding Author
Zengwen Wang
Received 12 January 2019, Accepted 20 July 2019, Available Online 8 August 2019.
DOI
10.2991/ijcis.d.190722.001How to use a DOI?
Keywords
Fuzzy cognitive map; Hesitant fuzzy set; Risk factors; Electric power system; Simulation
Abstract

Electric power industry has been undergoing enormous transformations. Therefore, it is necessary to improve the security of electric power system and the decision capacity in the emergency process. As a complicated system, electric power system is affected by many factors, the reasoning of which can be regarded as a process that combines intuition and cognition. Uncertainty characterizes human cognitive and reasoning processes. Several extensions of fuzzy cognitive map (FCM) model have been suggested to handle multifarious sources of uncertainty. Nevertheless, the uncertainty from human doubt may arise in the assignment of membership degrees, which is neglected in current FCMs. To deal with this problem, a novel approach based on hesitant fuzzy sets (HFSs) and FCMs, called hesitant fuzzy cognitive maps (HFCMs), is presented in this paper. The proposed method, which possesses the features of tackling hesitancy explicitly during the experts' assessments, is demonstrated by an example on the analysis of risk factors affecting electric power system. It can provide a better simulation of the inherent uncertainty in real problems through the hesitancy represented in experts' knowledge, and a what-if analysis for describing hesitant fuzzy scenario is well developed with the HFCM model.

Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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<Previous Article In Issue
Next Article In Issue>
Journal
International Journal of Computational Intelligence Systems
Volume-Issue
12 - 2
Pages
842 - 854
Publication Date
2019/08/08
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.d.190722.001How to use a DOI?
Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Xiaodi Liu
AU  - Zengwen Wang
AU  - Shitao Zhang
AU  - Jiashu Liu
PY  - 2019
DA  - 2019/08/08
TI  - A Novel Approach to Fuzzy Cognitive Map Based on Hesitant Fuzzy Sets for Modeling Risk Impact on Electric Power System
JO  - International Journal of Computational Intelligence Systems
SP  - 842
EP  - 854
VL  - 12
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.190722.001
DO  - 10.2991/ijcis.d.190722.001
ID  - Liu2019
ER  -