Abstract | ||
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When considering today's uncertain atmosphere, many people and organizations believe that strategy has lost its meaning and position. When future is predictable, common approaches for strategic planning are applicable; nonetheless, vague circumstances require different methods. Accordingly, a new approach that is compatible with uncertainty and unstable conditions is necessary. Fuzzy logic is a world view compatible with today complicated requirements. Regarding today's uncertain and vague atmosphere, there is an absolute requirement to fuzzify the tools and strategic planning models, especially for dynamic and unclear environment. In this research, an extended version of Strengths, Weaknesses, Opportunities and Threats (SWOT) fuzzy approach has been presented for strategic planning based on fuzzy logic. It has solved the traditional strategic planning key problems like internal and external factors in imprecision and ambiguous environment. The model has been performed in an information technology corporation to demonstrate the capabilities in real world cases. |
Year | DOI | Venue |
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2018 | 10.3390/info9030046 | INFORMATION |
Keywords | Field | DocType |
strategic planning, fuzzy logic, factors aggregation, prioritization | Corporation,SWOT analysis,Computer science,Information technology,Fuzzy logic,Prioritization,Risk analysis (engineering),Artificial intelligence,Strategic planning,Machine learning | Journal |
Volume | Issue | ISSN |
9 | 3 | 2078-2489 |
Citations | PageRank | References |
1 | 0.36 | 6 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mohammad Taghi Taghavifard | 1 | 19 | 3.04 |
Hannan Amoozad Mahdiraji | 2 | 24 | 4.20 |
Amir Massoud Alibakhshi | 3 | 1 | 0.36 |
Edmundas Kazimieras Zavadskas | 4 | 500 | 49.88 |
Romualdas Bausys | 5 | 47 | 5.14 |