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Application of the AHP method on the optimization with undesirable priorities
by
Yang, Jianhui
, Liang, Jie
in
Analytic hierarchy process
/ Artificial intelligence
/ Business process reengineering
/ Data envelopment analysis
/ Decision making
/ Engineering
/ Fuzzy sets
/ Hierarchies
/ Methods
/ Multiple criterion
/ Optimization
/ Priorities
2022
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Application of the AHP method on the optimization with undesirable priorities
by
Yang, Jianhui
, Liang, Jie
in
Analytic hierarchy process
/ Artificial intelligence
/ Business process reengineering
/ Data envelopment analysis
/ Decision making
/ Engineering
/ Fuzzy sets
/ Hierarchies
/ Methods
/ Multiple criterion
/ Optimization
/ Priorities
2022
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Do you wish to request the book?
Application of the AHP method on the optimization with undesirable priorities
by
Yang, Jianhui
, Liang, Jie
in
Analytic hierarchy process
/ Artificial intelligence
/ Business process reengineering
/ Data envelopment analysis
/ Decision making
/ Engineering
/ Fuzzy sets
/ Hierarchies
/ Methods
/ Multiple criterion
/ Optimization
/ Priorities
2022
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Application of the AHP method on the optimization with undesirable priorities
Journal Article
Application of the AHP method on the optimization with undesirable priorities
2022
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Overview
The Analytic hierarchy process is one of the most commonly used Multicriteria decision-making methods. The biggest drawback of this method is that it does not produce good results if some of the criteria are undesirable. There are many ways to overcome this problem, which are either too complex or too limited. This paper presents the application and results of one aspect of the general BOCR method. Namely, only an idea was taken, without restriction. Four approaches were used to eliminate the negative priorities of the same problem. Two of them are related to modifications of the value of alternatives by criteria for negative priorities, and two of them are associated with special processing of desirable and special processing of undesirable criteria. The problem was solved by applying the WASPAS method to check the results.
Publisher
Springer Nature B.V
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