NDLI: Decision analysis for the siting of nuclear power plants—The relevance of multiattribute utility theory

Content Provider	IEEE Xplore Digital Library
Author	Keeney, R.L. Nair, K.
Copyright Year	1963
Abstract	The necessity for improved decision making concerning the siting and licensing of major power facilities has been accelerated in the past decade by the increased environmental consciousness of the public and by the energy crisis. These problems are exceedingly complex due to their multiple objective nature, the many interest groups, the long-range time horizons, and the inherent uncertainties of the potential impacts of any decision. Along with the relatively objective economic and engineering concerns, clearly the more subjective factors involving safety, environmental, and social issues are crucial to the problem. Hence, the professional judgments and knowledge of experts in these areas should be utilized in analyses of siting decisions. Likewise, the preferences of the general public, as consumers, the utility companies, as builders and operators of power plant facilities, and environmentalists and the government must be accounted for in analyzing power plant siting and licensing issues. We advocate an approach for formally articulating the experts' judgments and the decision makers' preferences, both of which are clearly subjective, and processing these along with the more objective considerations in a logical manner to acquire the implications for decision making. The appropriateness and application of decision analysis for power plant location decisions is discussed and illustrated in this paper. Emphasis is placed on the assessment of the decision maker's preferences and tradeoffs concerning multiple objectives.
Sponsorship	IEEE Publication
Starting Page	494
Ending Page	501
Page Count	8
File Size	939976
File Format	PDF
ISSN	00189219
Volume Number	63
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1975-03-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Utility theory Power generation Decision making Licenses Acceleration Uncertainty Power generation economics Environmental economics Power engineering and energy Safety
Content Type	Text
Resource Type	Article
Subject	Computer Science Electrical and Electronic Engineering

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