A multi-criteria decision making (MCDM) method, as its own name suggests, is for use in situations when more than one criterion must be considered. In this work, we will focus on the Analytic Hierarchy Process (AHP), one of the well-known and most widely used MCDM approaches. Despite the extensive application of this method in various fields of decision making, AHP has been combined within unce...

This chapter aims to delineate measurement of level-of-satisfaction during decision making under intelligent fuzzy environment. Before proceeding with the multi-criteria decisionmaking model (MCDM), we attempt to build a co-relation among decision support systems (DSS), decision theories and fuzziness of information. The so-relation shows the necessity of incorporating decision makers’ (DM) lev...

DS/AHP is a nascent method for multi-criteria decision making (MCDM), applied here to the ranking of sectors (industries). Moreover, the preference of each sector over different criteria is dependent on their expected ability to improve the development prospects of a UK region. Due to the large number of sectors considered in this case, the use of more traditional MCDM techniques such as AHP is...

Recently, Multiple-Criteria Decision Making (MCDM) tools have increasingly been expanded to help researchers and practitioners to evaluate and select the best compromise alternatives. Among popular MCDM methods, Vlsekriterijumska Optimizacija I KOmpromisno Resenje (VIKOR) has attracted much attention to cope with complex problems with conflict factors. The current study conducted a state-of-the...

We describe techniques for visualizing the Pareto optimal set that can be used if the multiobjective optimization problem considered has more than two objective functions. The techniques discussed can be applied in the framework of both MCDM and EMO approaches. First, lessons learned from methods developed for biobjective problems are considered. Then, visualization techniques for convex multio...

An important focus in current research on decision support systems (DSS) is the design of flexible environments to facilitate and support learning about the problem domain by the user. This research uses case-based reasoning to present a symbiotic DSS in which both the user and the DSS learn from each other. The user learns from the DSS (from stored prior problem solutions) and the system learn...

The Fuzzy Analytic Network Process (ANP) is generally used for solving multicriteria decision making (MCDM) problems by considering the pairwise comparison between criteria/sub-criteria, and inner/outer dependencies among criteria. Linguistic expressions are used for experts’ judgements, and these judgements are imprecise and vague. Hence, incorporating fuzziness with multi-criteria decision ma...

Using the balanced scorecard approach based on sustainable development parameters is a powerful and useful methodology to evaluate the sustainable performance of organization or company. In this paper, a new approach based on sustainability balanced scorecard (SBSC) and multi criteria decision making (MCDM) approaches is developed for evaluating the performance of oil producing companies in Ira...

In Gal and Hanne [Eur. J. Oper. Res. 119 (1999) 373] the problem of using several methods to solve a multiple criteria decision making (MCDM) problem with linear objective functions after dropping nonessential objectives is analyzed. It turned out that the solution does not need be the same when using various methods for solving the system containing the nonessential objectives or not. In this ...

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...