Co-oP [electronic resource] : A Group Decision Support System for Cooperative Multiple Criteria Group Decision Making / by Tung X. Bui.

By: Bui, Tung X [author.]Contributor(s): SpringerLink (Online service)Material type: TextTextLanguage: English Series: Lecture Notes in Computer Science: 290Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 1987Description: XIII, 250 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540481775Subject(s): Computer science | Information systems | Artificial intelligence | Economics | Management information systems | Computer Science | Information Systems Applications (incl.Internet) | Business Information Systems | Artificial Intelligence (incl. Robotics) | Operations Research/Decision Theory | Economic TheoryAdditional physical formats: Printed edition:: No titleDDC classification: 005.7 LOC classification: QA76.76.A65Online resources: Click here to access online
Contents:
Definition of terms and context of the design study -- Review of prior related research: A DSS engineering perspective -- The functions and roles of DSS in group decision-making -- Design issues for the GDSS model component -- Design issues for the GDSS dialogue component -- Communications design in GDSS -- Co-oP system architecture and software components -- Evaluation issues for GDSS -- Face-to-face GDSS versus distributed GDSS: Some empirical evidence -- Non-cooperation in GDSS -- GDSS design for organizational decision-making -- Conclusions.
In: Springer eBooksSummary: This book proposes an approach to analyzing, designing and implementing Group Decision Support Systems (GDSS). The experience gained in developing a concrete system, Co-oP, suggests that GDSS should be distributed, loosely-coupled and process-driven. A distributed and loosely-coupled GDSS architecture provides autonomy and flexibility for individual decision-making, and homogeneity and simplicity for group problem solving. Also, process-driven GDSS are able to deal with the unpredictable nature of group problems since collective decision processes have been shown to be the only elements in a GDSS that are (i) stable enough to fit into most collective problems, (ii) reasonably structurable to be implementable, and (iii) sufficiently controllable to guarantee appropriate use. From a Multiple Criteria Decision-Making (MCDM) viewpoint, this book supports the integrated use of various MCDM methods to help a GDSS (i) support a wide range of decision situations, (ii) attenuate the difficulty of information search, (iii) allow division of decision-making tasks, and (iv) permit consensus seeking analysis. Co-oP runs on a network of individual workstations. It contains a set of MCDM methods, techniques of aggregation of preferences, and a consensus seeking algorithm to support negotiation. Electronic communication among group members is monitored by a group norm filter which is adaptable to a large number of collective decision situations. This book also reports some empirical evaluations of Co-oP and expands the proposed approach to non-cooperation and organizational decision-making.
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Definition of terms and context of the design study -- Review of prior related research: A DSS engineering perspective -- The functions and roles of DSS in group decision-making -- Design issues for the GDSS model component -- Design issues for the GDSS dialogue component -- Communications design in GDSS -- Co-oP system architecture and software components -- Evaluation issues for GDSS -- Face-to-face GDSS versus distributed GDSS: Some empirical evidence -- Non-cooperation in GDSS -- GDSS design for organizational decision-making -- Conclusions.

This book proposes an approach to analyzing, designing and implementing Group Decision Support Systems (GDSS). The experience gained in developing a concrete system, Co-oP, suggests that GDSS should be distributed, loosely-coupled and process-driven. A distributed and loosely-coupled GDSS architecture provides autonomy and flexibility for individual decision-making, and homogeneity and simplicity for group problem solving. Also, process-driven GDSS are able to deal with the unpredictable nature of group problems since collective decision processes have been shown to be the only elements in a GDSS that are (i) stable enough to fit into most collective problems, (ii) reasonably structurable to be implementable, and (iii) sufficiently controllable to guarantee appropriate use. From a Multiple Criteria Decision-Making (MCDM) viewpoint, this book supports the integrated use of various MCDM methods to help a GDSS (i) support a wide range of decision situations, (ii) attenuate the difficulty of information search, (iii) allow division of decision-making tasks, and (iv) permit consensus seeking analysis. Co-oP runs on a network of individual workstations. It contains a set of MCDM methods, techniques of aggregation of preferences, and a consensus seeking algorithm to support negotiation. Electronic communication among group members is monitored by a group norm filter which is adaptable to a large number of collective decision situations. This book also reports some empirical evaluations of Co-oP and expands the proposed approach to non-cooperation and organizational decision-making.

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