<?xml version="1.0" encoding="UTF-8"?>
<collection xmlns="http://www.loc.gov/MARC21/slim">
 <record>
  <leader>02227nam a2200205Ia 4500</leader>
  <controlfield tag="001">CTU_228513</controlfield>
  <controlfield tag="008">210402s9999    xx            000 0 und d</controlfield>
  <datafield tag="082" ind1=" " ind2=" ">
   <subfield code="a">658.4030285</subfield>
  </datafield>
  <datafield tag="082" ind1=" " ind2=" ">
   <subfield code="b">T513</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
   <subfield code="a">Bui, X. Tung</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2="0">
   <subfield code="a">Co-oP :</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2="2">
   <subfield code="b">A group decision support system for cooperative multiple criteria group decision making</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2="0">
   <subfield code="c">Bui X. Tung</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
   <subfield code="a">Berlin</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
   <subfield code="b">Springer-Verlag</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
   <subfield code="c">1987</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
   <subfield code="a">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.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2=" ">
   <subfield code="a">Hệ thống hỗ trợ quyết định,Decision support systems</subfield>
  </datafield>
  <datafield tag="910" ind1=" " ind2=" ">
   <subfield code="b">dqhieu</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
   <subfield code="a">Trung tâm Học liệu Trường Đại học Cần Thơ</subfield>
  </datafield>
 </record>
</collection>
