Multi-criteria decision making based on fuzzy measure

Sanghyuk Lee; Yan Sun; Di Feng

doi:10.1007/978-94-007-6516-0_105

Multi-criteria decision making based on fuzzy measure

Sanghyuk Lee^*, Yan Sun, Di Feng

^*Corresponding author for this work

Department of Electrical and Electronic Engineering

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

Abstract

Decision procedure was done with the evaluation of multi-criterion analysis. Importance of each criterion was considered through heuristically method, specially it was based on the heuristic least mean square algorithm. To consider coalition evaluation, it was carried out by calculation of Shapley index and Interaction value. The model output is also analyzed with the help of those two indexes, and the procedure was also displayed with details. Finally, the differences between the model output and the desired results are evaluated thoroughly, several problems are raised at the end of the example which require for further studying.

Original language	English
Title of host publication	Future Information Communication Technology and Applications, ICFICE 2013
Pages	959-968
Number of pages	10
DOIs	https://doi.org/10.1007/978-94-007-6516-0_105
Publication status	Published - 2013
Event	2013 International Conference on Future Information and Communication Engineering, ICFICE 2013 - Shenyang, China Duration: 24 Jun 2013 → 26 Jun 2013

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	235 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	2013 International Conference on Future Information and Communication Engineering, ICFICE 2013
Country/Territory	China
City	Shenyang
Period	24/06/13 → 26/06/13

Keywords

Decision making
Fuzzy membership function
Heuristic least square
Interaction index
Shapley index

Access to Document

10.1007/978-94-007-6516-0_105

Cite this

@inproceedings{53a16a13d3c94256be7402b83ad1e79f,

title = "Multi-criteria decision making based on fuzzy measure",

abstract = "Decision procedure was done with the evaluation of multi-criterion analysis. Importance of each criterion was considered through heuristically method, specially it was based on the heuristic least mean square algorithm. To consider coalition evaluation, it was carried out by calculation of Shapley index and Interaction value. The model output is also analyzed with the help of those two indexes, and the procedure was also displayed with details. Finally, the differences between the model output and the desired results are evaluated thoroughly, several problems are raised at the end of the example which require for further studying.",

keywords = "Decision making, Fuzzy membership function, Heuristic least square, Interaction index, Shapley index",

author = "Sanghyuk Lee and Yan Sun and Di Feng",

year = "2013",

doi = "10.1007/978-94-007-6516-0_105",

language = "English",

isbn = "9789400765153",

series = "Lecture Notes in Electrical Engineering",

pages = "959--968",

booktitle = "Future Information Communication Technology and Applications, ICFICE 2013",

note = "2013 International Conference on Future Information and Communication Engineering, ICFICE 2013 ; Conference date: 24-06-2013 Through 26-06-2013",

}

Lee, S, Sun, Y & Feng, D 2013, Multi-criteria decision making based on fuzzy measure. in Future Information Communication Technology and Applications, ICFICE 2013. Lecture Notes in Electrical Engineering, vol. 235 LNEE, pp. 959-968, 2013 International Conference on Future Information and Communication Engineering, ICFICE 2013, Shenyang, China, 24/06/13. https://doi.org/10.1007/978-94-007-6516-0_105

TY - GEN

T1 - Multi-criteria decision making based on fuzzy measure

AU - Lee, Sanghyuk

AU - Sun, Yan

AU - Feng, Di

PY - 2013

Y1 - 2013

N2 - Decision procedure was done with the evaluation of multi-criterion analysis. Importance of each criterion was considered through heuristically method, specially it was based on the heuristic least mean square algorithm. To consider coalition evaluation, it was carried out by calculation of Shapley index and Interaction value. The model output is also analyzed with the help of those two indexes, and the procedure was also displayed with details. Finally, the differences between the model output and the desired results are evaluated thoroughly, several problems are raised at the end of the example which require for further studying.

AB - Decision procedure was done with the evaluation of multi-criterion analysis. Importance of each criterion was considered through heuristically method, specially it was based on the heuristic least mean square algorithm. To consider coalition evaluation, it was carried out by calculation of Shapley index and Interaction value. The model output is also analyzed with the help of those two indexes, and the procedure was also displayed with details. Finally, the differences between the model output and the desired results are evaluated thoroughly, several problems are raised at the end of the example which require for further studying.

KW - Decision making

KW - Fuzzy membership function

KW - Heuristic least square

KW - Interaction index

KW - Shapley index

UR - http://www.scopus.com/inward/record.url?scp=84880726093&partnerID=8YFLogxK

U2 - 10.1007/978-94-007-6516-0_105

DO - 10.1007/978-94-007-6516-0_105

M3 - Conference Proceeding

AN - SCOPUS:84880726093

SN - 9789400765153

T3 - Lecture Notes in Electrical Engineering

SP - 959

EP - 968

BT - Future Information Communication Technology and Applications, ICFICE 2013

T2 - 2013 International Conference on Future Information and Communication Engineering, ICFICE 2013

Y2 - 24 June 2013 through 26 June 2013

ER -

Multi-criteria decision making based on fuzzy measure

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Cite this