Fuzzy AHP is often used in multi-criteria decision analysis. In this paper we consider an example given by Deng [I] and in particular the method used to approximate the fuzzy principle eigenvector of the fuzzy pairwise comparison matrices. We show Nigel Steele Computational Intelligence Group, School of Mathematical and Information Sciences, Coventry University, Priory Street, Coventry. CV1 5FB...

Effort Estimation has always been a challenging task for the Project managers. Many researchers have tried to help them by creating different types of models. This has been already proved that none is successful for all types of projects and every type of environment. Analytic Hierarchy Process (AHP) has been identified as the tool that would help in Multi Criteria Decision Making. Researchers ...

CA1 pyramidal neurons from animals that have acquired hippocampal tasks show increased neuronal excitability, as evidenced by a reduction in the postburst afterhyperpolarization (AHP). Studies of AHP plasticity require stable long-term recordings, which are affected by the intracellular solutions potassium methylsulphate (KMeth) or potassium gluconate (KGluc). Here we show immediate and gradual...

The specific objectives of the paper are: validation of the theoretical model for strategic planning of e-learning implementation by means of factor analysis, presentation of the structure of AHP and ANP models for decision making about e-learning implementation, comparison between developed AHP and ANP models, analysis of the results of group decision making supported by sw TeamEC2000 based on...

Decision.The Analytic Hierarchy Process AHP, introduced by Thomas Saaty 1980, is an. Synthesizing the results, the AHP helps to capture both subjective and.Saaty The AHP: How to make a decision properties or features of the alternatives being compared, and the alternatives themselves are gradually layered in the.INTRODUCTION. The Analytic Hierarchy Process AHP is due to Saaty 1980 and is often ...

This paper describes multicriteria models for identifying areas best suited for military training exercises. Training loads are measured in terms of Maneuver Impact Miles, which in turn are estimated based on different impact variables. Three criteria are used to reflect training impacts, namely: erosion status, vegetative percent cover, and range condition. Two models are developed to address ...