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An integrated approach for improving decisionmaking processes
Author(s) -
Seo Fumiko
Publication year - 1980
Publication title -
behavioral science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 45
eISSN - 1099-1743
pISSN - 0005-7940
DOI - 10.1002/bs.3830250507
Subject(s) - management science , bridge (graph theory) , computer science , decision analysis , process (computing) , operations research , decision support system , evidential reasoning approach , decision engineering , decision process , nesting (process) , business decision mapping , engineering , mathematics , artificial intelligence , mathematical economics , medicine , operating system , mechanical engineering
This article deals with decision making at the organization level, but it is perhaps applicable to all other levels. Decision‐making processes generally have multiple purposes and are made with uncertainty. The objectives are usually noncommensurate and in conflict with one another. The processes involve two phases: analytical and judgmental. For the analytical phase, mathematical optimization methods such as mathematical programming are efficiently applied. The nesting method of Lagrangian multipliers is one device intended to bridge the gap between both phases of decision‐making processes. The System and Decision Science Area of the International Institute for Applied Systems Analysis has been very involved with multiobjective decision problems. This study is one of several works on methodological development for a multicriteria decision‐making process.