The analytic hierarchy process (AHP) has gained increasing attention in construction management (CM) domain as a technique to analyse complex situations and make sound decisions. However, AHP per s...

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Review of application of analytic hierarchy process (AHP) in construction

Pairwise comparisons are a well-known method for the representation of the subjective preferences of a decision maker. Evaluating their inconsistency has been a widely studied and discussed topic and several indices have been proposed in the literature to perform this task. As an acceptable level of consistency is closely related to the reliability of preferences, a suitable choice of an inconsistency index is a crucial phase in decision-making processes. The use of different methods for measuring consistency must be carefully evaluated, as it can affect the decision outcome in practical applications. In this paper, we present five axioms aimed at characterizing inconsistency indices. In addition, we prove that some of the indices proposed in the literature satisfy these axioms, whereas others do not, and therefore, in our view, they may fail to correctly evaluate inconsistency.

Axiomatic properties of inconsistency indices for pairwise comparisons

Consistency analysis of triangular fuzzy reciprocal preference relations

Cumra irrigation district (CID) is one of the most important agricultural production regions in Central Anatolia. Surface water in the region is limited and agricultural production substantially relies on groundwater irrigation. In this study, analytic hierarchy process (AHP) is combined with geographical information systems (GIS) to assess the irrigation water quality in the aquifers of CID. Nine water quality criteria were classified into four main hazard groups including salinity hazard, infiltration and permeability hazard, specific ion toxicity, and miscellaneous impacts on sensitive crops. A weighting coefficient of each criterion was determined by using GIS-based AHP. Nine thematic maps defining the electrical conductivity (EC), total dissolved solids (TDS), sodium adsorption ratio (SAR), combined EC-SAR, chloride, boron, nitrate–nitrogen (NO3–N), bicarbonate, and pH were generated to develop the suitability map for irrigation water quality. Based on the results of this application, the final irrigation water quality index model was classified into three groups as high, moderate, and low suitability for irrigation purposes. The derived suitability index map for irrigation water quality indicates that the aquifer water in 61.92 % of the study area has high suitability for irrigation water, moderate suitability in 19.20 %, and low suitability in the remaining 18.87 %. The suitability index map for irrigation water quality explicitly shows that most of aquifer waters in CID are highly suitable for irrigation purposes while the groundwater quality deteriorates towards the north–northeastern and the eastern directions.

Ines Fischer

Papers

The Analytic Hierarchy Process Applications And Studies