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Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 43))

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Abstract

The nature and degree of competition in an industry hinge on four basic forces: Production, Technology, Marketing and Research & Development (R&D). To establish a strategic agenda for dealing with these contending currents and to grow despite them, a company must understand how they work in its industry and how they affect the company in its particular situation. This study adopts Fuzzy MCDM methods and details how these forces operate and suggests ways of adjusting to them, and, where possible, of taking advantage of them. Knowledge of these underlying sources of competitive pressure provides the groundwork for a strategic agenda of action. The result highlights the critical strengths and weaknesses of the company, animate the positioning of the company in its industry, clarify the areas where strategic changes may yield the greatest payoff, and highlight the places where industry trends promise to hold the greatest significance as either opportunities or threats.

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References

  1. Duckstein, L., Opricovic, S.: Multiobjective optimization in river basin development. Water Resources Research 16(1), 14–20 (1980)

    Article  Google Scholar 

  2. Freimer, M., Yu, P.: Some new results on compromise solutions for group decision problems. Management Science, 688–693 (1976)

    Google Scholar 

  3. Hsu, C., Chen, K., Tzeng, G.H.: Fmcdm with fuzzy dematel approach for customers choice behavior model. International Journal of Fuzzy Systems, 236–246 (2007)

    Google Scholar 

  4. Lo, M.C., Michnik, J., Cheng, L.P.: Technology assessment as a guidance to business management of new technologies. In: 2007 IEEE International Conference on Industrial Engineering and Engineering Management, pp. 75–79 (2007), doi:10.1109/IEEM.2007.4419154

    Google Scholar 

  5. Opricovic, S., Tzeng, G.H.: Multicriteria planning of post-earthquake sustainable reconstruction. Computer-Aided Civil and Infrastructure Engineering 17(3), 211–220 (2002)

    Article  Google Scholar 

  6. Opricovic, S., Tzeng, G.H.: Compromise solution by mcdm methods: A comparative analysis of vikor and topsis. European Journal of Operational Research 156(2), 445–455 (2004)

    Article  MATH  Google Scholar 

  7. Opricovic, S., Tzeng, G.H.: Extended vikor method in comparison with outranking methods. European Journal of Operational Research 178(2), 514–529 (2007)

    Article  MATH  Google Scholar 

  8. Pawlak, Z.: Rough sets. International Journal of Parallel Programming 11(5), 341–356 (1982)

    MathSciNet  MATH  Google Scholar 

  9. Porter, M.: Towards a dynamic theory of strategy. Strategic Management Journal 12(S2), 95–117 (1991)

    Article  Google Scholar 

  10. Saaty, R.: The Analytic Hierarchy Process (AHP) for Decision Making and The Analytic Network Process (ANP) for Decision Making with Dependence and Feedback. Creative Decisions Foundation, Pittsburgh (2003)

    Google Scholar 

  11. Saaty, T.: Axiomatic foundation of the analytic hierarchy process. Management Science, 841–855 (1986)

    Google Scholar 

  12. Saaty, T.: Rank generation, preservation, and reversal in the analytic hierarchy decision process. Decision Sciences 18(2), 157–177 (1987)

    Article  Google Scholar 

  13. Saaty, T.: Decision making for leaders: the analytic hierarchy process for decisions in a complex world, vol. 2. RWS publications (1988)

    Google Scholar 

  14. Saaty, T.: The analytic network process: decision making with dependence and feedback. RWS Publications (1996)

    Google Scholar 

  15. Saaty, T.: Fundamentals of the analytic network process. In: Proceedings of the 5th International Symposium on the Analytic Hierarchy Process, pp. 12–14 (1999)

    Google Scholar 

  16. Saaty, T.: Fundamentals of the analytic network processxmultiple networks with benefits, costs, opportunities and risks. Journal of Systems Science and Systems Engineering 13(3), 348–379 (2004)

    Article  Google Scholar 

  17. Tzeng, G.H., Chiang, C.H., Li, C.W.: Evaluating intertwined effects in e-learning programs: A novel hybrid mcdm model based on factor analysis and dematel. Expert Systems with Applications 32(4), 1028–1044 (2007)

    Article  Google Scholar 

  18. Velosa, A.: Semiconductor manufacturing: Boom busts, and globalization. The Bridge 35(1) (2005)

    Google Scholar 

  19. Yu, P.L.: A class of solutions for group decision problems. Management Science, 936–946 (1973)

    Google Scholar 

  20. Zadeh, L.: Fuzzy sets. Information and Control 8(3), 338–353 (1965)

    Article  MathSciNet  MATH  Google Scholar 

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Correspondence to Mei-Chen Lo .

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Lo, MC., Tzeng, GH. (2013). Fuzzy Hybrid MCDM for Building Strategy Forces. In: Skowron, A., Suraj, Z. (eds) Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam. Intelligent Systems Reference Library, vol 43. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30341-8_20

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  • DOI: https://doi.org/10.1007/978-3-642-30341-8_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30340-1

  • Online ISBN: 978-3-642-30341-8

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