A utility range-based interactive group support system for multiattribute decision making
This research suggests an interactive procedure for solving a multiattribute group decision
problem using a range-typed utility information, and develops an interactive group support
system (RINGS) to implement some capabilities of the procedure. It is often difficult for group
members to articulate their preferences with cardinal values, instead they prefer to give
incomplete information only. Utility ranges are obtained by solving linear programming
problems with incompletely specified information. RINGS finds out conflicting opinions …
problem using a range-typed utility information, and develops an interactive group support
system (RINGS) to implement some capabilities of the procedure. It is often difficult for group
members to articulate their preferences with cardinal values, instead they prefer to give
incomplete information only. Utility ranges are obtained by solving linear programming
problems with incompletely specified information. RINGS finds out conflicting opinions …
This research suggests an interactive procedure for solving a multiattribute group decision problem using a range-typed utility information, and develops an interactive group support system (RINGS) to implement some capabilities of the procedure. It is often difficult for group members to articulate their preferences with cardinal values, instead they prefer to give incomplete information only. Utility ranges are obtained by solving linear programming problems with incompletely specified information. RINGS finds out conflicting opinions among group members, compares each member's preferences with the others’, and suggests a direction for consensus seeking. The procedure of RINGS utilizes range-typed visual information, which helps the group reach a consensus. RINGS has several facilities like graphic user interface, model base, and database, so the total time to reach a group consensus is reduced. The evaluation of information systems is illustrated as a demonstration of some capabilities of RINGS. SCOPE AND PURPOSE: This paper deals with the multiple attribute decision-making problem using a separable linear programming technique when group decision makers give only their incomplete information about the attribute weight and alternative value. The utility range for individual decision maker is calculated from each decision maker's incomplete information, and the utility range for group decision makers is obtained from those of individual decision makers. An interactive procedure for establishing a group's pairwise dominance relations with a group's utility range is described, and an interactive group support system (RINGS) is developed to implement the procedure. A case study about the evaluation of information systems is illustrated as a demonstration of some capabilities of RINGS.
Elsevier
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