The Analytic Hierarchy Process (AHP) proposed by T. L. Saaty has been widely used in decision making. Inner dependence method AHP is used for cases in which criteria or alternatives are not independent enough and using the original AHP or inner dependence AHP may cause results to lose reliability because the comparison matrix is not necessarily sufficiently consistent. In such cases, fuzzy repr...

Anosognosia for hemiplegia (AHP) is relatively common among patients who suffer from a stroke. It is characterized as a denial of bodily paralysis and the complexity of studying it is evident. Anosognosia is a neuropsychological deficit of self-awareness and most frequently associated with both cortical and subcortical lesions distributed within the right hemisphere, resulting in a left hemiple...

This study proposes a holistic approach for determining critical attributes in e-learning measurements. There is an abundance of literature pertaining to the e-learning framework, but there is a shortage of literature on how to properly implement the framework in uncertainty with variance and interactive relationships. This paper also considers the nature of fuzziness in human perception and av...

Analytic Hierarchy Process (AHP) is major method for decision making, and inner dependence AHP is used for cases in which criteria or/and alternatives are not independent enough. Using the original AHP or inner dependence AHP may cause results that cannot have enough reliability because of the inconsistency of the comparison matrix. In such cases, fuzzy representation for weighting criteria or/...

Background: The purpose of this paper is to determine the local weights in Analytical Hierarchy Process (AHP) by using the maximum variance method based on Gram Schmidt technique in the presence of large dimensionality of data set. This method was utilized for reducing the dimension in data with large dimensionality. In order to gain significant efficiency, the condition should be satisfied (n ...

This paper presents a model based decision support system (DSS) for evaluating performance. Performance evaluation in business is difficult. Multicriteria methods are used for evaluation of performance of public and private organizations. The proposed system is based on financial ratios and some methods such as Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Id...

In next generation wireless networks, the most tempting feature is the ability of the user to move smoothly over different access networks regardless of the network access technology. In this paper we study the benefit of Multiple Attribute Decision Making (MADM) strategies for network selection. We compare three of these methods naming Simple Additive Weighting (SAW), Multiplicative Exponentia...

This paper reports the study on the development of a ‘decision support system (DSS)’ software for cotton fibre grading and selection, and its applications in the textile spinning industry. Two multi-criteria decision making approaches, namely ‘analytic hierarchy process (AHP)’ and ‘technique for order preference by similarity to ideal solutions (TOPSIS)’, have been amalgamated in the developed ...

This paper concerns with proposing a fuzzy logic based expert system to breakthrough the problem of alternatives evaluation in Analytic Hierarchy Process (AHP). AHP as a multi criteria decision aid helped decision makers for analyzing and prioritizing the alternatives in a hierarchical structure. During times AHP encountered some problems. Hence, fuzzy analytic hierarchy process (FAHP) and some...

In SPICE (Software Process Improvement and Capability dEtermination) assessments, the rating of a process attribute is determined by the aggregated achievements of associated MPs (management practices). Previous rating scale usability studies revealed that experienced assessors had difficulty distinguishing the boundaries between adjacent ratings: Fully and Largely, Largely and Partially, and P...