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Ranking sectors using fuzzy output multipliers

Beynon, Malcolm James ORCID:, Munday, Maxim C. R. ORCID: and Roberts, Annette ORCID: 2005. Ranking sectors using fuzzy output multipliers. Economic Systems Research 17 (3) , pp. 237-253. 10.1080/09535310500221716

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Using input–output analysis to model the effects of changes in industry final demands is fraught with problems, many of which relate to the fundamental limitations of the concomitant linear framework. A further issue concerns the accuracy of the results, a consequence of the uncertainty surrounding the values of multipliers. Such uncertainty can create problems where the values of output multipliers are used to inform resource directions. This paper utilizes (and develops) a fuzzy input–output model and investigates the ranking of industries based on fuzzy output multipliers. The non-triviality of the fuzzy model is exposited in a general problem, where imprecision is defined by a proportional level of imprecision (fuzziness) in the technical coefficients. Through a nascent method for ranking fuzzy numbers, comparisons are made between the fuzzy and more traditional (non-fuzzy) analysis.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Business (Including Economics)
Subjects: H Social Sciences > H Social Sciences (General)
Q Science > QA Mathematics
Uncontrolled Keywords: Fuzzy set theory, fuzzy output multipliers, input–output, key sector analysis
Publisher: Taylor & Francis
ISSN: 0953-5314
Last Modified: 08 Dec 2022 11:12

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