Caixia Li , Sreenatha Gopalarao Anavatti, Tapabrata Ray University of New South Wales @ Australian Defence Force Academy [email protected] Abstract-This paper focuses on the design and implementation of the analytical hierarchy process (AHP) using Fuzzy inference techniques. This AHP-FUZZY approach is a multi-criteria combination system. The nature of the AHP-FUZZY approach is pair-...

This research was carried out to evaluate the capability of a combined fuzzy logic-based approach and analytical hierarchy process (AHP) for potassium saturation percentage (KSP) estimation in some calcareous soils of southern Iran. Based on a reconnaissance soil survey, 52 soil series were selected and different physical and chemical properties were determined. Five soil parameters including c...

This study deals with prioritization of sustainable supply chin measurement indicators which are calculated by using Chang’s extent method of Fuzzy AHP. Within the model of Fuzzy AHP, main attributes, sub attributes and indicators are defined. The weights of them are calculated from the answers of questionnaire, which is formed for pair-wise comparison of attributes and indicators. The results ...

The fuzzy analytic hierarchy process (AHP) is an extension to the classical AHP that enables dealing with the impreciseness and vagueness of judgments. It has been frequently used for handling complex decision making problems that demand a group rather than a single decision maker. Group decision making aggregates the judgments of individuals into a joint decision. Although consensus is the des...

Based on features of distance education and its disadvantages in terms of learning evaluation, this study uses Analytic Hierarchy Process (AHP) and fuzzy mathematics theory to study distance education. First, an electric file is generated for each learner. Then a practical multi-hierarchy evaluation model is built based on AHP. Finally, evaluation of on-line education is done based on informati...

Fuzzy AHP is a hybrid method that combines Fuzzy Set Theory and AHP. It has been developed to take into account uncertainty and imprecision in the evaluations. Fuzzy Set Theory requires the definition of a membership function. At present, there are no indications of how these membership functions can be constructed. In this paper, a way to calibrate the membership functions with comparisons giv...

At present, more and more attentions have been paid to dam risk management around the world. In order to deal with the fuzziness and randomness of dam failure, the cloud model was introduced into the risk assessment of dam failure, which was combined with Analytic Hierarchy Process(AHP) method and fuzzy theory, and then the multilevel fuzzy comprehensive assessment of dam failure risk was reali...

The decision to recruit manpower in an organization requires clear identification of the criteria (attributes) that distinguish successful from unsuccessful performance. The choice of appropriate attributes or criteria in different levels of hierarchy in an organization is a multi-criteria decision problem and therefore multi-criteria decision making (MCDM) techniques can be used for prioritiza...

A fuzzy decision analysis method for integrating ecological indicators was developed. This was a combination of a fuzzy ranking method and the analytic hierarchy process (AHP). The method was capable of ranking ecosystems in terms of environmental conditions and suggesting cumulative impacts across a large region. Using data on land cover, population, roads, streams, air pollution, and topograp...

The Evaluation of eCRM implementation in most of organizations will witness an increase in efficiency, staff satisfaction, and eventually customer satisfaction. The objective of this paper is to apply and compare the analytic hierarchy process (AHP), Fuzzy AHP and Fuzzy Topsis methods to evaluate the Parsian banks’ readiness in ECRM implementation. Primary data have been collected by means of q...