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A systematic integration model to support complex decision‐making in a dynamic environment
Author(s) -
Liao Ziqi
Publication year - 1998
Publication title -
systems research and behavioral science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 45
eISSN - 1099-1743
pISSN - 1092-7026
DOI - 10.1002/(sici)1099-1743(199801/02)15:1<33::aid-sres189>3.0.co;2-6
Subject(s) - task (project management) , computer science , dynamic decision making , decision engineering , process (computing) , set (abstract data type) , structuring , hierarchy , management science , decision analysis , decision support system , identification (biology) , r cast , business decision mapping , artificial intelligence , systems engineering , engineering , mathematics , finance , market economy , statistics , botany , economics , biology , programming language , operating system
A systematic integration model is designed by synthesizing the systems approach and the Analytic Hierarchy Process. It aims to deal with complex decision‐making which involves multiple interconnected subsequent decision‐making tasks in a dynamic environment. The model facilitates the complex decision‐making by structuring a number of subsequent decision tasks into an integrated decision‐making process (IDMP). Identification of appropriate criteria is shown to depend on an individual task environment. Alternatives related to any subsequent decision‐making task are evaluated with respect to both a set of criteria determined by the assessment of a particular task environment and a decision choice from its prior decision‐making task. Therefore, decisions throughout the IDMP are consistent with not only different task environments but also the overall objective of the complex decision‐making. © 1998 John Wiley & Sons, Ltd.