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A comparison study of fuzzy MADM methods in nuclear safeguards evaluation

Özgür Kabak and Da Ruan (UGent)
(2011) JOURNAL OF GLOBAL OPTIMIZATION. 51(2). p.209-226
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Abstract
Nuclear safeguards evaluation (NSE) is to verify that a State is living up to its international undertakings not to use nuclear programs for nuclear weapons purposes. The main issue in NSE is on the aggregation of expert evaluations for numerous indicators to make a final decision about the State's nuclear activity. Fuzzy multiple attribute decision making (FMADM) methods are capable of dealing with such an issue. In this study, we propose a new FMADM methodology to solve the NSE problem. To this end, we investigate the applicability of four basic FMADM methods, namely a simple additive weighting method, a TOPSIS method, a linguistic method, and a non-compensatory method, to the NSE issue. As a result of the assessment of the basic methods, we propose a new FMADM methodology based on a new aggregation operator in which a cumulative belief structure is used to represent the expert evaluations. The basic methods and the proposed method as well are applied to an example from the literature for illustration purposes.
Keywords
RANKING, AHP, ATTRIBUTES, TOPSIS, UNCERTAINTY, ENVIRONMENT, EVIDENTIAL REASONING APPROACH, CRITERIA DECISION-MAKING, Cumulative belief degrees, Linguistic evaluation, Fuzzy multiple attribute decision making, Decision making, Nuclear safeguards

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Citation

Please use this url to cite or link to this publication:

Chicago
Kabak, Özgür, and Da Ruan. 2011. “A Comparison Study of Fuzzy MADM Methods in Nuclear Safeguards Evaluation.” Ed. Jie Lu and Guangquan Zhang. Journal of Global Optimization 51 (2): 209–226.
APA
Kabak, Ö., & Ruan, D. (2011). A comparison study of fuzzy MADM methods in nuclear safeguards evaluation. (J. Lu & G. Zhang, Eds.)JOURNAL OF GLOBAL OPTIMIZATION, 51(2), 209–226.
Vancouver
1.
Kabak Ö, Ruan D. A comparison study of fuzzy MADM methods in nuclear safeguards evaluation. Lu J, Zhang G, editors. JOURNAL OF GLOBAL OPTIMIZATION. 2011;51(2):209–26.
MLA
Kabak, Özgür, and Da Ruan. “A Comparison Study of Fuzzy MADM Methods in Nuclear Safeguards Evaluation.” Ed. Jie Lu & Guangquan Zhang. JOURNAL OF GLOBAL OPTIMIZATION 51.2 (2011): 209–226. Print.
@article{2080683,
  abstract     = {Nuclear safeguards evaluation (NSE) is to verify that a State is living up to its international undertakings not to use nuclear programs for nuclear weapons purposes. The main issue in NSE is on the aggregation of expert evaluations for numerous indicators to make a final decision about the State's nuclear activity. Fuzzy multiple attribute decision making (FMADM) methods are capable of dealing with such an issue. In this study, we propose a new FMADM methodology to solve the NSE problem. To this end, we investigate the applicability of four basic FMADM methods, namely a simple additive weighting method, a TOPSIS method, a linguistic method, and a non-compensatory method, to the NSE issue. As a result of the assessment of the basic methods, we propose a new FMADM methodology based on a new aggregation operator in which a cumulative belief structure is used to represent the expert evaluations. The basic methods and the proposed method as well are applied to an example from the literature for illustration purposes.},
  author       = {Kabak, {\"O}zg{\"u}r and Ruan, Da},
  editor       = {Lu, Jie and Zhang, Guangquan},
  issn         = {0925-5001},
  journal      = {JOURNAL OF GLOBAL OPTIMIZATION},
  keyword      = {RANKING,AHP,ATTRIBUTES,TOPSIS,UNCERTAINTY,ENVIRONMENT,EVIDENTIAL REASONING APPROACH,CRITERIA DECISION-MAKING,Cumulative belief degrees,Linguistic evaluation,Fuzzy multiple attribute decision making,Decision making,Nuclear safeguards},
  language     = {eng},
  number       = {2},
  pages        = {209--226},
  title        = {A comparison study of fuzzy MADM methods in nuclear safeguards evaluation},
  url          = {http://dx.doi.org/10.1007/s10898-010-9601-1},
  volume       = {51},
  year         = {2011},
}

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