Title
A linear goal programming priority method for fuzzy analytic hierarchy process and its applications in new product screening
Abstract
Fuzzy analytic hierarchy process (AHP) has been widely used for a variety of applications such as supplier selection, customer requirements assessment and the like. The vast majority of the applications, however, were found avoiding the use of sophisticated approaches for fuzzy AHP such as fuzzy least squares method while using a simple extent analysis for the sake of simplicity. The extent analysis proves to be incorrect and may lead to a wrong decision being made. This paper proposes a sound yet simple priority method for fuzzy AHP which utilizes a linear goal programming (LGP) model to derive normalized fuzzy weights for fuzzy pairwise comparison matrices. The proposed LGP priority method is tested with three numerical examples including an application of fuzzy AHP to new product development (NDP) project screening decision making.
Year
DOI
Venue
2008
10.1016/j.ijar.2008.04.004
Int. J. Approx. Reasoning
Keywords
Field
DocType
fuzzy ahp,multiple criteria decision making,linear goal programming,new product screening,project screening decision,proposed lgp priority method,fuzzy pairwise comparison matrix,squares method,fuzzy analytic hierarchy process,simple priority method,new product development,extent analysis,fuzzy weight,linear goal programming priority,project screening,simple extent analysis,normalized fuzzy weights,goal programming,least square method
Mathematical optimization,Neuro-fuzzy,Fuzzy classification,Defuzzification,Fuzzy set operations,Fuzzy logic,Fuzzy transportation,Goal programming,Artificial intelligence,Fuzzy associative matrix,Mathematics,Machine learning
Journal
Volume
Issue
ISSN
49
2
International Journal of Approximate Reasoning
Citations 
PageRank 
References 
26
1.14
29
Authors
2
Name
Order
Citations
PageRank
Ying-Ming Wang13256166.96
Kwai-Sang Chin2103354.69