Previous review papers on analytic hierarchy process (AHP) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) mainly focused on the application areas and paid scant attention to the framework development of AHP, TOPSIS and their hybrid methods. The purpose of this paper is to review the literature on analytic hierarchy process (AHP), type of scale used in AHP, modified ...

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...

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...

Application of model base in group decision making that makes up a Group Decision Support System (GDSS) is of paramount importance. Analytic Hierarchy Process (AHP) is the multi-criteria decision making (MCDM) that has been applied in GDSS. In order to be effectively used in GDSS, AHP needs to be customized so that it is more user friendly with ease of used features. In this paper, we propose a...

Analytic Hierarchy Process (AHP) is one of the most popular method in the field of decision-making today. While there exist many kinds of extensions of AHP using fuzzy measures or fuzzy sets, one of the most natural uses of fuzzy sets is to employ a reciprocal matrix with fuzzy-valued entries. Indeed, using classical AHP, there is often not enough consistency among the data due to strong condit...

Financial problems have been the subject of much research. A widely used approach in recent work on these problems is the use of fuzzy set theory, where fuzzy terms are used to model the uncertain environments. The purpose of this work is to combine the fuzzy analytic hierarchy process (AHP) with the portfolio selection problem. More specifically, the decision-making problem is to decide which ...

The present study presents a comparative analysis of different group aggregation methods adopted in AHP by testing them against social choice axioms with a case study of Delhi transport system. The group aggregation (GA) methods and their correctness were tested while prioritizing the alternative options to achieve energy efficient and less polluting transport system in Delhi It was observed th...

Managing natural resource lands requires social, as well as biophysical, considerations. Unfortunately, it is extremely difficult to accurately assess and quantify changing social preferences, and to aggregate conflicting opinions held by diverse social groups. The Analytic Hierarchy Process (AHP) provides a systematic, explicit, rigorous, and robust mechanism for eliciting and quantifying subj...

Testability is an essential criterion for software quality and it is always difficult to measure. Multicriteria Decision Making (MCDM) approaches are very effectively and widely used in predicting the quality of the software. MCDM techniques are very helpful in ambiguous range of decisions. It has the ability to grip the uncertainty of pairwise comparisons. In this paper, multicriteria decision...

Background: Choosing the most suitable candidate for the position of salesperson is indeed a complex task for managers because several criteria important for the position should be taken into consideration. Such a choice should be considered as a multiple-criteria problem, which can be solved by using the AHP method. Objectives: The main goal is to investigate which criteria are the most import...