Journal ArticleDOI
Project risk evaluation using a fuzzy analytic hierarchy process: An application to information technology projects
Fatih Tüysüz,Cengiz Kahraman +1 more
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The fuzzy analytic hierarchy process (AHP) as a suitable and practical way of evaluating project risks based on the heuristic knowledge of experts is used to evaluate the riskiness of an information technology project of a Turkish firm.Abstract:
Projects are critical to the realization of performing organization's strategies. Each project contains some degree of risk and it is required to be aware of these risks and to develop the necessary responses to get the desired level of project success. Because projects' risks are multidimensional, they must be evaluated by using multi-attribute decision-making methods. The aim of this article is to provide an analytic tool to evaluate the project risks under incomplete and vague information. The fuzzy analytic hierarchy process (AHP) as a suitable and practical way of evaluating project risks based on the heuristic knowledge of experts is used to evaluate the riskiness of an information technology (IT) project of a Turkish firm. The means of the triangular fuzzy numbers produced by the IT experts for each comparison are successfully used in the pairwise comparison matrices. © 2006 Wiley Periodicals, Inc. Int J Int Syst 21: 559–584, 2006.read more
Citations
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Journal ArticleDOI
On the extent analysis method for fuzzy AHP and its applications
TL;DR: It is found that the extent analysis method cannot estimate the true weights from a fuzzy comparison matrix and has led to quite a number of misapplications in the literature.
Journal ArticleDOI
Performance evaluation of Turkish cement firms with fuzzy analytic hierarchy process and TOPSIS methods
TL;DR: A fuzzy model to evaluate the performance of the firms by using financial ratios and at the same time, taking subjective judgments of decision makers into consideration is developed.
Journal ArticleDOI
Comparison of fuzzy AHP and fuzzy TOPSIS methods for facility location selection
TL;DR: In this article, the authors used fuzzy analytic hierarchy process (AHP) and fuzzy technique for order preference by similarity to ideal solution (TOPSIS) methods for the selection of facility location.
Journal ArticleDOI
Fuzzy analytic hierarchy process
Ying-Ming Wang,Kwai-Sang Chin +1 more
TL;DR: A logarithmic fuzzy preference programming (LFPP) based methodology for fuzzy AHP priority derivation is proposed, which formulates the priorities of a fuzzy pairwise comparison matrix as a logarithsmic nonlinear programming and derives crisp priorities from fuzzy Pairwise comparison matrices.
Journal ArticleDOI
The application of fuzzy analytic hierarchy process (FAHP) approach to selection of optimum underground mining method for Jajarm Bauxite Mine, Iran
TL;DR: The aim of this study is developing a fuzzy model to selection the optimum mining method by using effective and major criteria and at the same time, taking subjective judgments of decision makers into consideration.
References
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Book
Fuzzy sets
TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
Book ChapterDOI
The Analytic Hierarchy Process
Thomas L. Saaty,Kevin P. Kearns +1 more
TL;DR: Analytic Hierarchy Process (AHP) as mentioned in this paper is a systematic procedure for representing the elements of any problem hierarchically, which organizes the basic rationality by breaking down a problem into its smaller constituent parts and then guides decision makers through a series of pairwise comparison judgments to express the relative strength or intensity of impact of the elements in the hierarchy.
Journal ArticleDOI
Applications of the extent analysis method on fuzzy AHP
TL;DR: The use of triangular fuzzy numbers for pairwise comprison scale of fuzzy AHP is introduced, and the use of the extent analysis method for the synthetic extent value S i of the pairwise comparison is used.
Book
Project management : a systems approach to planning, scheduling, and controlling
TL;DR: In this article, the authors give students and professionals a profound understanding of project management with insights from one of the best-known and respected authorities on the subject, including case studies, discussion and multiple-choice questions.
Journal ArticleDOI
Fuzzy hierarchical analysis
TL;DR: A new method of finding the fuzzy weights in fuzzy hierarchical analysis which is the direct fuzzification of the original method used by Saaty (1980) in the analytic hierarchy process is presented.