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dc.contributor.authorDow, Sheila-
dc.contributor.authorGhosh, Dipak-
dc.description.abstractThe purpose of the paper is to explore the potential for using fuzzy logic to analyse economic decision-making under Keynesian uncertainty, and in particular in circumstances where variety of opinion is important. Fuzzy logic is shown to apply where expectations may differ because the nature of the subject matter impedes any ‘crisp’ way of describing the underlying variables. The particular case of the speculative demand for money is considered, since it explicitly reflects variety of opinion as to whether interest rates are ‘high’ oen_UK
dc.publisherRoutledge (of Taylor & Francis)-
dc.relationDow S & Ghosh D (2009) Fuzzy logic and Keynes's speculative demand for money, Journal of Economic Methodology, 16 (1), pp. 57-69.-
dc.rightsThe publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author; you can only request a copy if you wish to use this work for your own research or private study.-
dc.subjectFuzzy logicen_UK
dc.subjectliquidity preferenceen_UK
dc.subjectdiversity of opinionen_UK
dc.subject.lcshFuzzy logic-
dc.subject.lcshKeynesian economics-
dc.subject.lcshDemand for money Mathematical models-
dc.subject.lcshDecision making Economic aspects-
dc.titleFuzzy logic and Keynes's speculative demand for moneyen_UK
dc.typeJournal Articleen_UK
dc.rights.embargoreasonThe publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.-
dc.citation.jtitleJournal of Economic Methodology-
dc.type.statusPublisher version (final published refereed version)-
Appears in Collections:Economics Journal Articles

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