نتایج جستجو برای: fuzzy ahp method

تعداد نتایج: 1706661  

2007
CHIN-SHENG HUANG YU-JU LIN CHE-CHERN LIN

-This study presents an evaluation model for purchasing life insurance and annuity insurance using analytical hierarchy process (AHP) and fuzzy logic. Four factors are considered as the inputs of the proposed model including age, annual income, educational level and risk preference. To build the model, we interviewed five experts with at least three years of working experience in an insurance c...

Journal: :iranian journal of operations research 0
h hamidi k. n. toosi university of technology

here, we propose a fuzzy analytic hierarchy process (fahp) method to evaluate the alternatives of enterprise resource planning (erp) system. the fuzzy ahp approach allows the users get values more accurately to model the vagueness which changes according subjective ideas in the decision-making environment for erp system selection problem. therefore, fuzzy ahp method is used to obtain firm decis...

2015
Thanh Nguyen Abbas Khosravi Douglas Creighton Saeid Nahavandi

This paper introduces a novel approach to gene selection based on a substantial modification of analytic hierarchy process (AHP). The modified AHP systematically integrates outcomes of individual filter methods to select the most informative genes for microarray classification. Five individual ranking methods including t-test, entropy, receiver operating characteristic (ROC) curve, Wilcoxon and...

2010
Laor Boongasame Veera Boonjing

There are several methods for Multi Criteria Decision Making (MCDM) such as multiple attribute utility theory (MAUT), the analytical hierarchy process (AHP), and Fuzzy AHP. However, these methods are compensatory optimization approaches for which bad score on some criteria can be compensated by excellent scores on other criteria. So, the Elimination and Choice Translating Reality III (ELECTRE I...

Journal: :Expert Syst. Appl. 2012
Ayhan Mentes Ismail Hakki Helvacioglu

Spread mooring systems are associated with high level uncertainties and risks during tanker loading/ unloading operations. In addition, the design of such complex systems consists of many subjective and imprecise parameters. Therefore, in the present study, a fuzzy based decision support methodology is designed to overcome aforementioned characteristics. The fuzzy methodology incorporates quali...

2009
Jih-Jeng Huang

This paper proposes a new method for finding fuzzy weights in the fuzzy analytic hierarchy process (FAHP), which fuzzifies the derived formulation of an eigenvector directly. The presented formulation only needs information about the upper triangular matrix and the assumption about the reciprocal matrix is not necessary. This characteristic makes the FAHP feasible because the property of recipr...

2009
Li Lun Poh Kim Leng

The Analytic Hierarchy Process (AHP) model was designed by Thomas L.Saaty (Saaty, 1980) in 1970s as a decision making aid. It is especially suitable for complex decisions which involve the comparison of decision elements which are difficult to quantify. It is based on the assumption that when faced with a complex decision the natural human reaction is to cluster the decision elements according ...

2016
Yonghua Luo Ruomin Wang Lijun Yang

In looking for different types of large-scale activities of food sanitation supervision and security modes, improving the efficiency of food hygiene protection, this paper establishes the evaluation index system for sports food hygiene, and proposed the sports food hygiene evaluation model based on the Analytic Hierarchy Process (AHP) and the interval fuzzy TOPSIS method. AHP is used to determi...

2015
Zeki Ayağ

The evaluation process of employee performance has been very vital and critical issue for companies that aim to reward employees for meeting their organizational goals and identify whether or not their objectives are met, and develop necessary action plans so that they can be achieved in near future. This selection process is so essential for companies due to the fact that wrong decisions may n...

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