Abstract
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.
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