Download PDF by Tzeng Gwo-Hshiung, Gwo-Hshiung Tzeng, Huang Jih-Jeng,: Multiple Attribute Decision Making: Methods and Applications

By Tzeng Gwo-Hshiung, Gwo-Hshiung Tzeng, Huang Jih-Jeng, Jih-Jeng Huang

ISBN-10: 1439861579

ISBN-13: 9781439861578

Choice makers are usually confronted with numerous conflicting possible choices. How do they overview trade-offs while there are greater than 3 standards? to aid humans make optimum judgements, students within the self-discipline of a number of standards choice making (MCDM) proceed to enhance new equipment for structuring personal tastes and identifying the proper relative weights for standards. A compilation of recent decision-making concepts, a number of characteristic determination Making: tools and functions makes a speciality of the bushy set method of a number of characteristic determination making (MADM). Drawing on their adventure, the authors compile present tools and real-life purposes of MADM suggestions for selection research. in addition they suggest a unique hybrid MADM version that mixes DEMATEL and analytic community method (ANP) with VIKOR procedures.

The first a part of the publication makes a speciality of the speculation of every technique and contains examples that may be calculated with no machine, supplying an entire figuring out of the methods. tools comprise the analytic hierarchy approach (AHP), ANP, uncomplicated additive weighting strategy, ELECTRE, PROMETHEE, the grey relational version, fuzzy fundamental procedure, tough units, and the structural version. Integrating conception and perform, the second one a part of the ebook illustrates how equipment can be utilized to resolve real-world MADM difficulties. purposes lined within the ebook include:

AHP to pick making plans and layout providers for a building project
TOPSIS and VIKOR to judge the easiest alternative-fuel autos for city areas
ELECTRE to unravel community layout difficulties in city transportation planning
PROMETEE to set priorities for the advance of recent power platforms, from sun thermal to hydrogen energy
Fuzzy integrals to guage company intranet net sites
Rough units to make judgements in assurance marketing
Helping readers know how to use MADM thoughts to their selection making, this ebook is appropriate for undergraduate and graduate scholars in addition to practitioners.

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Extra info for Multiple Attribute Decision Making: Methods and Applications

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48 Multiple Attribute Decision Making: Methods and Applications In order to consider the ANP under fuzzy environments, fuzzy numbers are used to compare the ratio of weights between criteria. In this chapter, a fuzzy number is presented as the triangular form. Other forms of fuzzy numbers can be easily employed using the same procedures. 29) where ãij denotes the strength of the ratio of the weight that the criterion i dominates the criterion j. Then, the matrix of Ã* can be represented as 1 − n   0 A* =    0  1 a12 2−n a1n −1 a2 n −1 0 1 −1 1 a1n   a2 n  .

3. 0655]. 0456]. I. R. 0637, we can conclude that the consistency of the subjective perception is satisfied. However, in realistic problems, the perception of a decision maker is usually vague, fuzzy, or linguistic. For example, the linguistic expression that one criterion is “much more” important than another may be expressed by the ratios 7/1 or 9/1. Therefore, the fuzzy pair comparisons among criteria are more suitable for this situation. In the following sections, we present three kinds of methods to calculate the fuzzy AHP as follows.

2 The hierarchical structure of the AHP. Criterion n Sub-Cn1 Sub-C2m2 Sub-C21 Sub-C1m1 Sub-C11 3rd level Goal 17 Analytic Hierarchy Process Step 2: Compare the comparative weight between the attributes of the decision elements to form the reciprocal matrix; Step 3: Synthesize the individual subjective judgment and estimate the relative weight; Step 4: Aggregate the relative weights of the elements to determine the best alternatives/strategies. If we wish to compare a set of n attributes pairwise according to their relative importance weights, where the attributes are denoted by a1, a2, .

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Multiple Attribute Decision Making: Methods and Applications by Tzeng Gwo-Hshiung, Gwo-Hshiung Tzeng, Huang Jih-Jeng, Jih-Jeng Huang


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