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...

An integrated interactive menu driven software MCDMGDSS was developed to consider multicriterion analysis in group decision making environment. The capability of MCDMGDSS is demonstrated with the case study of Chaliyar river basin planning problem, Kerala, India to find the most suitable configuration of the reservoirs. Eight alternatives are analysed with respect to six noncommensurable discre...

This paper describes an application of multi-criteria decision making (MCDM) for multi-modal fusion of features in a 3D face recognition system. A decision making process is outlined that is based on the performance of multi-modal features in a face recognition task involving a set of 3D face databases. In particular, the fuzzy interval valued MCDM technique called TOPSIS is applied for ranking...

This feature cluster of the European Journal of Operational Research is one of three special issues devoted to results from the Sixteenth International Conference on Multi-Criteria Decision Making held at Semmering, Austria, on February 18–22, 2002. The special issue of the Journal of MultiCriteria Decision Making edited by Matthias Ehrgott and Mikulas Luptacik will focus on application-oriente...

Analytic Hierarchy Process (AHP) is a powerful quantitative measurement method in the multi-criteria decision making (MCDM) area. It has been used in banks, manufacturing systems, organizational performance evaluation, and project selection. Despite this widespread usage, many studies argue that rank reversal phenomenon is unpreventable when any AHP method is applied. This paper presents that t...

The increasing complexity of modern computer systems emerges as a real challenge for both the users and the designers. According to the innovative vision of Organic Computing systems, the system components will profit from their autonomy to perform a self-organization, and subsequently, to reach a high degree of adaptivity. The goal of this thesis is to investigate the vision of Organic Computi...

This paper offered a procedure for ranking the entrepreneurial and innovative indicators using Multi Criteria Decision Making (MCDM), taking into account three individual,organizational and cultural dimensions simultaneously in decision making procedure. Henceforward, by using the Meta synthesis framework, the form of group classification of indicators from afinding’s combination was suggested ...

Disposal of health-care waste (HCW) is considered as an important environmental problem especially in large cities. Multiple criteria decision making (MCDM) techniques are apt to deal with quantitative and qualitative considerations of the health-care waste management (HCWM) problems. This research proposes a fuzzy multi-criteria group decision making approach with a multilevel hierarchical str...

Availability of finite set of alternative solution for any problem tends to make decision making an inevitable part of today’s opportunistic world. Generally Decision making is made based on various perspectives like psychological, cognitive, normative means. In all situations Cost-Benefit analysis forms the key reason for decision making. Multi Criteria Decision Making (MCDM) methods make the ...

Multiple Criteria Decision Making (MCDM) aims at giving people a knowledge recommendation concerning a set of objects evaluated from multiple preference-ordered attributes. The Superiority and Inferiority Ranking (SIR) is a generation of the well-known outranking approachPROMETHEE, which is an efficient approach for MCDM. As the traditional MCDM approach, however, it faces the obstacle in handl...