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An intelligent approach to machine tool selection through fuzzy analytic network process

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An intelligent approach to machine tool selection through fuzzy analytic network process.pdf (273.6Kb)
Date
2011
Author
Ayaǧ, Zeki
Özdemir, Rıfat Gürcan
Abstract
In this study we utilize analytic network process (ANP) a more general form of AHP for justifying stand-alone machine tools out of available alternatives in market due to the fact that AHP cannot accommodate the variety of interactions dependencies and feedback between higher and lower level elements. However due to the vagueness and uncertainty on judgments of a decision-maker the crisp pair wise comparison in the conventional ANP seems to be insufficient and imprecise to capture the right judgments of the decision-maker. That is why also in this paper fuzzy number logic is introduced in the pair wise comparison of ANP to make up for this deficiency in the ANP. In short here an intelligent approach to machine tool selection (MTS) problem through fuzzy ANP is proposed to improve the imprecise ranking of company's requirements which is based on the conventional ANP. In order to reach to final solution a preference ratio (PR) analysis is done by using the results of the fuzzy ANP and investment costs of alternatives. In addition a numerical example is presented to illustrate the proposed approach.

Source

Journal of Intelligent Manufacturing

Issue

2

Volume

22

Pages

163-177

URI

https://hdl.handle.net/20.500.12469/990
https://doi.org/10.1007/s10845-009-0269-7

Collections

  • Araştırma Çıktıları / Scopus [1565]
  • Araştırma Çıktıları / WOS [1518]
  • Endüstri Mühendisliği / Industrial Engineering [131]

Keywords

Fuzzy logic
Analytic network process (ANP)
Multiple-criteria decision making (MCDM)
Machine tool selection

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Theme by 
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