Fuzzy Evaluation of SWOT analysis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F16%3A39902270" target="_blank" >RIV/00216275:25410/16:39902270 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Fuzzy Evaluation of SWOT analysis

Original language description

To develop a strategy for an organization it is important to understand the organization and its surrounding environment. Strength, Weakness, Opportunity, Threat (SWOT) analysis is a famous tool to perform this task precisely by showing the strength, weakness of the organization and the external factors, opportunities and threats that affect its success. SWOT analysis is commonly used by business; however, non-profit organizations also use SWOT analysis for decision-making and strategy evaluation. The limitation of SWOT analysis is that it does not give weight for the factors and there is no quantified result from the analysis. The methods introduced in this paper are Sugeno lambda measure and Choquet fuzzy integral. Sugeno lambda measure is used for aggregating the importance of characteristics and Choquet fuzzy integral is used for the overall analytical evaluation of strength, weakness, opportunity and threat of a specific organization. The methods discussed in this paper provide a way to quantitatively evaluate SWOT analysis of an organization, without having to worry about dependencies among characteristics. A case study has been conducted for a currency exchange office and the region of Pardubice, Czech Republic (CR) to explain the application of the proposed approach for profit and non- profit organizations

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

AE - Management, administration and clerical work

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

International Journal of Supply Chain Management

ISSN

2051-3771

e-ISSN

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Volume of the periodical

5

Issue of the periodical within the volume

3

Country of publishing house

GB - UNITED KINGDOM

Number of pages

8

Pages from-to

172-179

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-84990068210