A case study comparison of the analytic hierarchy process and a fuzzy decision methodology.: An article from: Engineering Economist
Book Details
Author(s)Fatemah Ghotb, Lewis Warren
ISBN / ASINB00093MJ16
ISBN-13978B00093MJ19
AvailabilityAvailable for download now
Sales Rank13,327,956
MarketplaceUnited States 🇺🇸
Description
This digital document is an article from Engineering Economist, published by Institute of Industrial Engineers, Inc. (IIE) on March 22, 1995. The length of the article is 3216 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.
From the author: The Analytic Hierarchy Process has been widely used for decision analysis, especially in situations where there are important qualitative aspects that require consideration in conjunction with various measurable quantitative factors. The popularity of the method can be attributed in part to the comparatively simple manner by which it combines qualitative ratings with quantitative measurements to arrive at overall priorities for the alternatives. In recent times another multicriterial decision methodology has emerged based on Fuzzy Set Theory. This method uses everyday words for rating and translates these linguistic variables into fuzzy sets for subsequent operations. The method is also relatively simple to apply and possess a similar ability to the Analytic Hierarchy Process for combining quantitative and qualitative factors. These two methods were applied to the question of whether to introduce a new IT system into a public hospital. Both, the same factors and the same experts for rating, were used when applying the methods. The results and practical aspects of using the two methods are compared.
Citation Details
Title: A case study comparison of the analytic hierarchy process and a fuzzy decision methodology.
Author: Fatemah Ghotb
Publication:Engineering Economist (Refereed)
Date: March 22, 1995
Publisher: Institute of Industrial Engineers, Inc. (IIE)
Volume: v40 Issue: n3 Page: p233(14)
Distributed by Thomson Gale
From the author: The Analytic Hierarchy Process has been widely used for decision analysis, especially in situations where there are important qualitative aspects that require consideration in conjunction with various measurable quantitative factors. The popularity of the method can be attributed in part to the comparatively simple manner by which it combines qualitative ratings with quantitative measurements to arrive at overall priorities for the alternatives. In recent times another multicriterial decision methodology has emerged based on Fuzzy Set Theory. This method uses everyday words for rating and translates these linguistic variables into fuzzy sets for subsequent operations. The method is also relatively simple to apply and possess a similar ability to the Analytic Hierarchy Process for combining quantitative and qualitative factors. These two methods were applied to the question of whether to introduce a new IT system into a public hospital. Both, the same factors and the same experts for rating, were used when applying the methods. The results and practical aspects of using the two methods are compared.
Citation Details
Title: A case study comparison of the analytic hierarchy process and a fuzzy decision methodology.
Author: Fatemah Ghotb
Publication:Engineering Economist (Refereed)
Date: March 22, 1995
Publisher: Institute of Industrial Engineers, Inc. (IIE)
Volume: v40 Issue: n3 Page: p233(14)
Distributed by Thomson Gale
