A New Methodology for Hesitant Fuzzy Emergency Decision Making with Unknown Weight Information
Once an emergency event occurs, effective emergency measures should be taken. It is known that the emergency event possesses characteristics of limited time and information, harmfulness, and uncertainty, and the decision makers are often bounded rational under uncertainty and risk. This paper presen...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2018/5145348 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832564492918063104 |
|---|---|
| author | Xiaodi Liu Zengwen Wang Shitao Zhang |
| author_facet | Xiaodi Liu Zengwen Wang Shitao Zhang |
| author_sort | Xiaodi Liu |
| collection | DOAJ |
| description | Once an emergency event occurs, effective emergency measures should be taken. It is known that the emergency event possesses characteristics of limited time and information, harmfulness, and uncertainty, and the decision makers are often bounded rational under uncertainty and risk. This paper presents a novel approach to emergency decision making with hesitant fuzzy information, which takes regret aversion of the decision makers into account. Firstly, based on the idea of the water-filling theory in the field of wireless communications, a mathematical programming model that can convert the attribute values into a compatible scale and eliminate the influence of different physical dimensions is constructed to determine the attribute weights. Then, a group satisfaction degree function is introduced into the regret theory to depict the psychological behaviors of the decision makers, based on which the perceived utility value function of alternative is constructed. The total perceived utility values of alternatives can be computed, and the ranking order of alternatives is obtained. Finally, a case study on a fire and explosion accident is given to illustrate the application of the proposed method. Besides that, the comparisons show the feasibility and superiority of the proposed method. |
| format | Article |
| id | doaj-art-a13553aa88214aa6a639c258d4e8a24e |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-a13553aa88214aa6a639c258d4e8a24e2025-02-03T01:10:57ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/51453485145348A New Methodology for Hesitant Fuzzy Emergency Decision Making with Unknown Weight InformationXiaodi Liu0Zengwen Wang1Shitao Zhang2School of Mathematics and Physics, Anhui University of Technology, Ma’anshan, Anhui 243002, ChinaResearching Center of Social Security, Wuhan University, Wuhan, Hubei 430072, ChinaSchool of Mathematics and Physics, Anhui University of Technology, Ma’anshan, Anhui 243002, ChinaOnce an emergency event occurs, effective emergency measures should be taken. It is known that the emergency event possesses characteristics of limited time and information, harmfulness, and uncertainty, and the decision makers are often bounded rational under uncertainty and risk. This paper presents a novel approach to emergency decision making with hesitant fuzzy information, which takes regret aversion of the decision makers into account. Firstly, based on the idea of the water-filling theory in the field of wireless communications, a mathematical programming model that can convert the attribute values into a compatible scale and eliminate the influence of different physical dimensions is constructed to determine the attribute weights. Then, a group satisfaction degree function is introduced into the regret theory to depict the psychological behaviors of the decision makers, based on which the perceived utility value function of alternative is constructed. The total perceived utility values of alternatives can be computed, and the ranking order of alternatives is obtained. Finally, a case study on a fire and explosion accident is given to illustrate the application of the proposed method. Besides that, the comparisons show the feasibility and superiority of the proposed method.http://dx.doi.org/10.1155/2018/5145348 |
| spellingShingle | Xiaodi Liu Zengwen Wang Shitao Zhang A New Methodology for Hesitant Fuzzy Emergency Decision Making with Unknown Weight Information Complexity |
| title | A New Methodology for Hesitant Fuzzy Emergency Decision Making with Unknown Weight Information |
| title_full | A New Methodology for Hesitant Fuzzy Emergency Decision Making with Unknown Weight Information |
| title_fullStr | A New Methodology for Hesitant Fuzzy Emergency Decision Making with Unknown Weight Information |
| title_full_unstemmed | A New Methodology for Hesitant Fuzzy Emergency Decision Making with Unknown Weight Information |
| title_short | A New Methodology for Hesitant Fuzzy Emergency Decision Making with Unknown Weight Information |
| title_sort | new methodology for hesitant fuzzy emergency decision making with unknown weight information |
| url | http://dx.doi.org/10.1155/2018/5145348 |
| work_keys_str_mv | AT xiaodiliu anewmethodologyforhesitantfuzzyemergencydecisionmakingwithunknownweightinformation AT zengwenwang anewmethodologyforhesitantfuzzyemergencydecisionmakingwithunknownweightinformation AT shitaozhang anewmethodologyforhesitantfuzzyemergencydecisionmakingwithunknownweightinformation AT xiaodiliu newmethodologyforhesitantfuzzyemergencydecisionmakingwithunknownweightinformation AT zengwenwang newmethodologyforhesitantfuzzyemergencydecisionmakingwithunknownweightinformation AT shitaozhang newmethodologyforhesitantfuzzyemergencydecisionmakingwithunknownweightinformation |