Advantages of fuzzy approach compared to probabilistic approach in project evaluation

Uncertainty is often encountered in relation to randomness or fuzziness. In the case of randomness, it can be described by means of a probability distribution; in the case of fuzziness, the fuzzy theory is applied. In the theoretical part, the authors deal with basic tools for describing both types...

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Main Authors: Simona Hašková, Petr Šuleř, Tomáš Krulický
Format: Article
Language:English
Published: Entrepreneurship and Sustainability Center 2022-09-01
Series:Entrepreneurship and Sustainability Issues
Online Access:https://jssidoi.org/jesi/article/1008
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author Simona Hašková
Petr Šuleř
Tomáš Krulický
author_facet Simona Hašková
Petr Šuleř
Tomáš Krulický
author_sort Simona Hašková
collection DOAJ
description Uncertainty is often encountered in relation to randomness or fuzziness. In the case of randomness, it can be described by means of a probability distribution; in the case of fuzziness, the fuzzy theory is applied. In the theoretical part, the authors deal with basic tools for describing both types of uncertainty. Probability and fuzzy method are interpreted in the context of their analogies and principal differences. Both techniques are applied in order to quantify the present expected value of a specific development project. The probabilistic solution leads to the point value E[PV], the fuzzy solution establishes the triangular fuzzy number with the subjective E[PV] not burdened with possible exaggerated expectations. The fuzzy approach proved to extend the probabilistic outcome by other additional information useful for decision-makers with different risk propensity.
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spelling doaj.art-33683da5042f489784c22ca5c8b2c7b02024-01-05T10:19:28ZengEntrepreneurship and Sustainability CenterEntrepreneurship and Sustainability Issues2345-02822022-09-0110148349310.9770/jesi.2022.10.1(27)Advantages of fuzzy approach compared to probabilistic approach in project evaluationSimona Haškováhttps://orcid.org/0000-0002-4971-7972Petr Šuleřhttps://orcid.org/0000-0001-7562-0659Tomáš Krulickýhttps://orcid.org/0000-0002-0378-2699Uncertainty is often encountered in relation to randomness or fuzziness. In the case of randomness, it can be described by means of a probability distribution; in the case of fuzziness, the fuzzy theory is applied. In the theoretical part, the authors deal with basic tools for describing both types of uncertainty. Probability and fuzzy method are interpreted in the context of their analogies and principal differences. Both techniques are applied in order to quantify the present expected value of a specific development project. The probabilistic solution leads to the point value E[PV], the fuzzy solution establishes the triangular fuzzy number with the subjective E[PV] not burdened with possible exaggerated expectations. The fuzzy approach proved to extend the probabilistic outcome by other additional information useful for decision-makers with different risk propensity.https://jssidoi.org/jesi/article/1008
spellingShingle Simona Hašková
Petr Šuleř
Tomáš Krulický
Advantages of fuzzy approach compared to probabilistic approach in project evaluation
Entrepreneurship and Sustainability Issues
title Advantages of fuzzy approach compared to probabilistic approach in project evaluation
title_full Advantages of fuzzy approach compared to probabilistic approach in project evaluation
title_fullStr Advantages of fuzzy approach compared to probabilistic approach in project evaluation
title_full_unstemmed Advantages of fuzzy approach compared to probabilistic approach in project evaluation
title_short Advantages of fuzzy approach compared to probabilistic approach in project evaluation
title_sort advantages of fuzzy approach compared to probabilistic approach in project evaluation
url https://jssidoi.org/jesi/article/1008
work_keys_str_mv AT simonahaskova advantagesoffuzzyapproachcomparedtoprobabilisticapproachinprojectevaluation
AT petrsuler advantagesoffuzzyapproachcomparedtoprobabilisticapproachinprojectevaluation
AT tomaskrulicky advantagesoffuzzyapproachcomparedtoprobabilisticapproachinprojectevaluation