Fuzzy multi-objective decision-making models and approaches

Lu, J; Zhang, G; Ruan, D

Fuzzy multi-objective decision-making models and approaches

Lu, J

Zhang, G

Ruan, D

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Publication Type:: Chapter
Citation:: Springer Optimization and Its Applications, 2008, 16 pp. 483 - 522
Issue Date:: 2008-01-01

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Field	Value	Language
dc.contributor.author	Lu, J https://orcid.org/0000-0003-0690-4732	en_US
dc.contributor.author	Zhang, G https://orcid.org/0000-0003-3960-0583	en_US
dc.contributor.author	Ruan, D	en_US
dc.date.issued	2008-01-01	en_US
dc.identifier.citation	Springer Optimization and Its Applications, 2008, 16 pp. 483 - 522	en_US
dc.identifier.uri	http://hdl.handle.net/10453/7867
dc.description.abstract	© Springer Science + Business Media, LLC 2008. Multi-objective linear programming (MOLP) techniques are widely used to model many organizational decision problems. Referring to the imprecision inherent in human judgments, uncertainty may be incorporated in some parameters of an established MOLP model that is also called a fuzzy MOLP (FMOLP) problem. This chapter first reviews the development of fuzzy multi-objective decision-making (FMODM) models and approaches and then proposes an effective way for an optimal solution in the FMOLP problem. By introducing an adjustable satisfactory degree α, a new concept of FMOLP and a solution transformation theorem are given in this chapter. This chapter thus develops an interactive fuzzy goal multi-objective decision-making method, which provides an interactive fashion with decision makers during their solution process and allows decision makers to give their fuzzy goals in any form of membership function. An illustrative example shows the details of the proposed method.	en_US
dc.relation.ispartof	Springer Optimization and Its Applications	en_US
dc.relation.isbasedon	10.1007/978-0-387-76813-7_19	en_US
dc.title	Fuzzy multi-objective decision-making models and approaches	en_US
dc.type	Chapter
utslib.citation.volume	16	en_US
utslib.for	080108 Neural, Evolutionary and Fuzzy Computation	en_US
utslib.for	080105 Expert Systems	en_US
utslib.for	080605 Decision Support and Group Support Systems	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	16	en_US

Abstract:

© Springer Science + Business Media, LLC 2008. Multi-objective linear programming (MOLP) techniques are widely used to model many organizational decision problems. Referring to the imprecision inherent in human judgments, uncertainty may be incorporated in some parameters of an established MOLP model that is also called a fuzzy MOLP (FMOLP) problem. This chapter first reviews the development of fuzzy multi-objective decision-making (FMODM) models and approaches and then proposes an effective way for an optimal solution in the FMOLP problem. By introducing an adjustable satisfactory degree α, a new concept of FMOLP and a solution transformation theorem are given in this chapter. This chapter thus develops an interactive fuzzy goal multi-objective decision-making method, which provides an interactive fashion with decision makers during their solution process and allows decision makers to give their fuzzy goals in any form of membership function. An illustrative example shows the details of the proposed method.

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http://hdl.handle.net/10453/7867