Analytic Network Process Decision Making Algorithm

To identify an accurate decision model with a number of distinctive criteria and alternatives are considered to be difficult and complex. In this case, analytic network process (ANP) becomes a significant instrument with a character of accuracy among other complicated models which use a number of cr...

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Main Authors: Zeeshan, Asim, Sorooshian, Shahryar
Format: Article
Language:English
English
Published: Pushpa Publishing House 2016
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/15216/
http://umpir.ump.edu.my/id/eprint/15216/1/03--1565-1578--PPH-1604039-%20MS16-send%20for%203%20days%20%281%29.pdf
http://umpir.ump.edu.my/id/eprint/15216/7/fim-2016-sorooshian-Analytic%20Network%20Process%20Decision%20Making%20Algorithm.pdf
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author Zeeshan, Asim
Sorooshian, Shahryar
author_facet Zeeshan, Asim
Sorooshian, Shahryar
author_sort Zeeshan, Asim
building UMP Institutional Repository
collection Online Access
description To identify an accurate decision model with a number of distinctive criteria and alternatives are considered to be difficult and complex. In this case, analytic network process (ANP) becomes a significant instrument with a character of accuracy among other complicated models which use a number of criteria with complex feedback interrelation. This paper aims at to present a comprehensive description of multi-criteria decision making techniques with a significant feature of ANP, which is considered as a more robust approach than AHP. The paper offers a brief analysis regarding the ANP methodology in complex multi-criteria decision making, and highlights some recommendations.
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English
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publishDate 2016
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spelling ump-152162018-02-28T02:19:00Z http://umpir.ump.edu.my/id/eprint/15216/ Analytic Network Process Decision Making Algorithm Zeeshan, Asim Sorooshian, Shahryar L Education (General) Q Science (General) To identify an accurate decision model with a number of distinctive criteria and alternatives are considered to be difficult and complex. In this case, analytic network process (ANP) becomes a significant instrument with a character of accuracy among other complicated models which use a number of criteria with complex feedback interrelation. This paper aims at to present a comprehensive description of multi-criteria decision making techniques with a significant feature of ANP, which is considered as a more robust approach than AHP. The paper offers a brief analysis regarding the ANP methodology in complex multi-criteria decision making, and highlights some recommendations. Pushpa Publishing House 2016 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/15216/1/03--1565-1578--PPH-1604039-%20MS16-send%20for%203%20days%20%281%29.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/15216/7/fim-2016-sorooshian-Analytic%20Network%20Process%20Decision%20Making%20Algorithm.pdf Zeeshan, Asim and Sorooshian, Shahryar (2016) Analytic Network Process Decision Making Algorithm. Far East Journal of Mathematical Sciences (FJMS), 100 (10). pp. 1565-1578. ISSN 0972-0871. (Published) http://dx.doi.org/10.17654/MS100101565 DOI: 10.17654/MS100101565
spellingShingle L Education (General)
Q Science (General)
Zeeshan, Asim
Sorooshian, Shahryar
Analytic Network Process Decision Making Algorithm
title Analytic Network Process Decision Making Algorithm
title_full Analytic Network Process Decision Making Algorithm
title_fullStr Analytic Network Process Decision Making Algorithm
title_full_unstemmed Analytic Network Process Decision Making Algorithm
title_short Analytic Network Process Decision Making Algorithm
title_sort analytic network process decision making algorithm
topic L Education (General)
Q Science (General)
url http://umpir.ump.edu.my/id/eprint/15216/
http://umpir.ump.edu.my/id/eprint/15216/
http://umpir.ump.edu.my/id/eprint/15216/
http://umpir.ump.edu.my/id/eprint/15216/1/03--1565-1578--PPH-1604039-%20MS16-send%20for%203%20days%20%281%29.pdf
http://umpir.ump.edu.my/id/eprint/15216/7/fim-2016-sorooshian-Analytic%20Network%20Process%20Decision%20Making%20Algorithm.pdf