Fuzzy AHP Assessment of Water Management Plans

Abstract

There are two mainstreams when using the analytic hierarchy process (AHP). One is the standard applications of crisp distributive and ideal mode versions. The other is characterised by fuzzification of the AHP methodology and by attempts to better tackle inherently uncertain and imprecise decision processes with quantitative and qualitative data. The latter is characterised by different approaches to fuzzificating the decision problem; the way of conducting judgment and evaluating process; and finally, in synthesising the results and manipulating fuzzy numbers to devise priorities for the decision alternatives. This paper presents a fuzzy methodology for solving fully structured decision problems with criteria, subcriteria and alternatives. It follows the logic of AHP in a simple and straightforward manner, efficiently aggregates criteria and sub-criteria into unique hierarchical level and applies a total integral method for comparing decision alternatives. The proposed methodology has been used for the assessment of water management plans in part of the Paraguacu River Basin in Brazil.

Selection and ranking of occupational safety indicators based on fuzzy AHP: A case study in road construction companies

“…The use of fuzzy set theory allows decision-makers to incorporate unquantifiable information, incomplete information, unobtainable information, and partially-unknown facts into the decision model [22]. The fuzzy AHP method is an extension of the crisp AHP method [29], in which human judgments are represented as fuzzy values. Using fuzzy numbers to evaluate occupational safety factors and indicators helps to represent the actual safety problem more realistically.…”

“…A fuzzy distance of 2 is used for odds (3,5,7), and a fuzzy distance of 1 for pairs (2,4,6,8) as recommended in [29], where the most consistent results were obtained. The corresponding weights of criteria, with respect to Eq.…”

Application of AHP in the evaluation of teaching quality in Independent Colleges

“…The analytic hierarchy process is mainly by means of the concept of relative index, in the evaluation must pay attention to according to different evaluation objects, in accordance with their corresponding responsibilities using different evaluation standard of [4] . For the independent college teachers, often sixty percent is own teacher, and the forty percent is the external teacher, then the external teachers and private teachers we can not generally use the same evaluation standard.…”

Planning of technical flood retention measures in large river basins under consideration of imprecise probabilities of multivariate hydrological loads

“…Theses qualitative assessments can be expressed with fuzzy numbers (Chang, 1996;Srdjevic and Medeiros, 2008). Using a Fuzzy algorithm enables the decision support system to incorporate not only the hydrological uncertainties in the decision matrix, but also to consider uncertain qualitative assessments of decision makers about their preferences.…”