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Co-oP : a group decision support system for cooperative multiple criteria group decision making / Tung X. Bui.

By: Material type: TextTextSeries: Lecture notes in computer science ; 290.Publisher: Berlin ; New York : Springer-Verlag, ©1987Description: 1 online resource (xiii, 250 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540481775
  • 354048177X
Subject(s): Additional physical formats: Print version:: Co-oP.DDC classification:
  • 658.4/03/0285 19
LOC classification:
  • T58.62 .B85 1987
Other classification:
  • 85.20
Online resources:
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.
Action note:
  • digitized 2010 HathiTrust Digital Library committed to preserve
Summary: 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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Includes bibliographical references (pages 221-243) and index.

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Print version record.

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.

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.

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