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The Multiple Criteria Location Problem: 2. Preference-Based Techniques and Interactive Decision Support

1996; SAGE Publishing; Volume: 28; Issue: 1 Linguagem: Inglês

10.1068/a280069

1472-3409

Jacek Malczewski, Włodzimierz Ogryczak,

Optimization and Mathematical Programming

This is the second of two papers in which multiple criteria location problems (MCLPs) are discussed. In this paper two major approaches to locational decisionmaking are overviewed: optimizing decision rules (utility-function-based methods) and satisficing decision rules (goal-programming methods). Their advantages and disadvantages are discussed. From these two concepts a quasi-satisficing decision rule is developed and operationalized through a reference point method. A framework for an interactive decision support system (DSS) for tackling MCLPs is proposed. The system integrates a network model with the quasi-satisficing approach. It is argued that the DSS data and analytical components can be effectively integrated by means of the interactive decision support concept that involves a feedback exchange of information between a decisionmaker and a computer-based support system. This concept allows for the exploration of the locational decision problem and the alternative solutions both in decision space and in criterion outcome space.