Research Reports from the Department of Operations
Document Type
Dissertation
Publication Date
5-1-1983
Abstract
The Multi Attribute Decision Making (MADM) problem arises in the selection of the most appropriate alternative from a set of very complex alternatives, such as, plans, projects, actions, tactics, strategies, products, etc. MADM methods are based on the multi-dimensionality of decision attributes. The significant advantage of the MADM method is that they avoid the rather arbitrary transformation of decision attribute values into unique monetary units. Moreover, these methods are capable of taking into account intangible attributes. But MADM methods may suffer from the degree of uncertainty, both in decision attribute values and in the weighting vector. The existence of many MADM methods seems to be of a burden rather than aid for those seeking the one method most appropriate --- for the situations at hand. This suggests the need for an integrated systematic approach model (ISAM) for selecting a system from a set of alternatives. The suggested ISAM integrates all known MADM methodologies into a unified whole. Its application consists of the following three phases: Phase 1: Generating the weighting vector of the decision attributes. Phase 2: Screening, evaluating and rank ordering the alternatives. Phase 3: Sensitivity analyses from which a more definite conclusion can be drawn.
Keywords
Operations research, Decision making--Mathematical models, Uncertainty--Mathematical models, Systems engineering--Mathematical models, Mathematical optimization
Publication Title
Dissertation, Department of Operations, School of Management, Case Western Reserve University
Issue
Technical memorandum no. 523 ; Submitted in partial fulfillment of the requirements for the Degree of Doctor of Philosophy.
Rights
This work is in the public domain and may be freely downloaded for personal or academic use
Recommended Citation
Lee, Chung-ung, "Principles for Evaluating and Selection of Alternative Systems" (1983). Research Reports from the Department of Operations. 436.
https://commons.case.edu/wsom-ops-reports/436