Skip to main content

Part of the book series: The Handbooks of Fuzzy Sets Series ((FSHS,volume 6))

  • 832 Accesses

Abstract

Strategic planning is the process in which organisations undertake such actions as identyfying its business objectives, selecting the acceptable means to achieve them and initiating the necessary courses of action and allocation of resources. All these actions are unstructured, ill-defined with uncertainty and impreciseness of the data. This chapter considers some concepts of using fuzzy sets to support actions of strategic planning, i.e. fuzzy portfolio analysis, hierarchical structures of fuzzy ratings and fuzzy approach in strategic planning of CIM implementation. Software tools: expert systems that help to use fuzzy concepts in strategic planning are also considered.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Bhattacharjee, T.K. and Mazumdar, A.K. (1998). Axiomatisation of fuzzy multivalued dependencies in a fuzzy relational data model, Fuzzy Sets and Systems, 96, 343–352.

    Article  MathSciNet  Google Scholar 

  • Biswas, T. (1997), Decision-making under Uncertainty, Macmillan, New York.

    Google Scholar 

  • Borgulya, I. (1997). A ranking method for multiple-criteria decision-making, Internationaljournal of Systems Science 28, 905–912.

    Article  MATH  Google Scholar 

  • Burnes, B. (1996). Managing Change. A strategic Approach to Organizational Dynamics, Pitman Publishing, London.

    Google Scholar 

  • Cheng, Ch.-H. (1998). A new approach for ranking fuzzy numbers by distance method, Fuzzy Sets and Systems, 95, 307–317.

    Article  MathSciNet  MATH  Google Scholar 

  • Chiang, D.-A., Chow, L.R. and Hsien, N.-Ch (1997). Fuzzy information in extended fuzzy relational databases, Fuzzy Sets and Systems, 92, 1–20.

    Article  MathSciNet  MATH  Google Scholar 

  • DataEngine (1997): (1) Tutorials and Theory (2) Overview and User Manual, MIT GmbH, Aachen.

    Google Scholar 

  • Dubois, D. and Prade, H. (1996). Semantics of quotient operators in fuzzy relational databases, Fuzzy Sets and Systems, 78, 89–93.

    Article  MathSciNet  Google Scholar 

  • Encyclopedia of Banking and Finance (1991), McGraw-Hill.

    Google Scholar 

  • Fortemps, Ph. and Roubens, M.. (1996). Ranking and defuzzification methods based on area compensation, Fuzzy Sets and Systems, 82, 319–330.

    Article  MathSciNet  MATH  Google Scholar 

  • Grabot, B. and Caillaud, E. (1996). Imprecise Knowledge in Expert Systems: A Simple Shell, Expert Systems with Applications, 10, 99–112.

    Article  Google Scholar 

  • Graham, I. (1991). Fuzzy logic in commercial expert systems — Results and prospects, Fuzzy Sets and Systems, 40, 451–472.

    Article  Google Scholar 

  • Grzegorzewski, P. (1998). Metrics and orders in space of fuzzy numbers, Fuzzy Sets and Systems, 97, 83–94.

    Article  MathSciNet  MATH  Google Scholar 

  • Homburg, O. (1994). Integration of Fuzzy-Sets in the Strategic Corporate Planning Process, in: Proceedings Second European Congress on Intelligent Techniques and Soft Computing EUFIT’94, Aachen, vol. 3, 1622–1626.

    Google Scholar 

  • Kivijarvi, H. and Tuominen, M. (1989). Computer-based multi-attribute simulation of production and financial strategies, Engng. Costs and Production Econ., 17, 331–341.

    Article  Google Scholar 

  • Kraft, D.H. and Petry, F.E. (1997). Fuzzy information systems: managing uncertainty in databases and information retrieval systems, Fuzzy Sets and Systems, 90, 183–191.

    Article  Google Scholar 

  • Kwiesielewicz, M (1998). A note on the fuzzy extension of Saaty’s priority theory, Fuzzy Sets and Systems, 95, 161–172.

    Article  MathSciNet  MATH  Google Scholar 

  • Lasek, M. (1992). Hierarchical structures of fuzzy ratings in the analysis of strategic goals of enterprises, Fuzzy Sets and Systems, 50, 127–134.

    Article  MATH  Google Scholar 

  • Mayer, A., Mechler, B., Schlindwein, A. and Wolke R. (1994). Fuzzy Logic. Einführung und Leitfaden zur praktischen Anwendung mit Fuzzy-Shell in C ++, Addison-Wesley, Bonn.

    Google Scholar 

  • McCauley-Bell, P. and Badiru, A.B. (1996). Fuzzy Modeling and Analytic Hierarchy Processing to Quantify Risk Levels Associated with Occupational Injuries. Part I: The Development of Fuzzy -Linguistic Risk Levels, Part II: The Development of a Fuzzy Rule-Based Model for the Prediction of Injury, IEEE Transactions on Fuzzy Systems, 4, 124–138.

    Article  Google Scholar 

  • Mechler, B. (1995). Intelligente Informations-systeme. Fuzzy Logic und Neuronale Systeme zur Unterstützung von Management-entscheidungen, Addison-Wesley, Bonn.

    Google Scholar 

  • Mißler-Behr, M. (1996). Applying Fuzzy Classification in Strategie Planning, in: Proceedings Fourth European Congress on Intelligent Techniques and Soft Computing EUFIT’96, Aachen, vol. 2, 1302–1306.

    Google Scholar 

  • Nakajima, H., Sogoh, T. and Arao, M. (1993). Development of an efficient fuzzy SQL for a large scale fuzzy relational database, in: Proceedings 5th IFSA World Congress, Seoul, Korea, 517–530.

    Google Scholar 

  • Olson, D.L. (1996). Decision Aids for Selection Problems, Springer-Verlag, New York.

    Book  Google Scholar 

  • Oxelheim, L. and Wihlborg, C.G. (1991), Corporate Strategies in a Turbulent World Economy, Management International Rewiev, 31, 293–315.

    Google Scholar 

  • Peneva, V. and Popchev, I.. (1998). Comparison of clusters from fuzzy numbers, Fuzzy Sets and Systems, 97, 75–81.

    Article  MathSciNet  MATH  Google Scholar 

  • Ribeiro, R.A. (1996). Fuzzy multiple attribute decision making: A review and new preference elicitation techniques, Fuzzy Sets and Systems, 78, 155–181.

    Article  MathSciNet  MATH  Google Scholar 

  • Robson, W. (1997). Strategic Management & Information Systems, Financial Times Pitman Publishing, London.

    Google Scholar 

  • Rommelfanger, H. (1994). Fuzzy Decision Support-Systeme. Entscheiden bei Unschärfe, Springer-Verlag, Heidelberg.

    Book  Google Scholar 

  • Saaty, T.L. (1980). The Analytic Hierarchy Process, McGraw-Hill, New York.

    MATH  Google Scholar 

  • Triantaphyllou, E. and Lin, Ch.-T. (1996). Development and Evaluation of Five Fuzzy Multiattribute Decision-Making Methods, International Journal of Approximate Reasoning, 14, 281–310.

    Article  MATH  Google Scholar 

  • Turksen, LB. (1992). Fuzzy expert systems for IE/OR/MS, Fuzzy Sets and Systems, 51, 1–27.

    Article  MathSciNet  Google Scholar 

  • Wilhelm, M.R. and Parsaei, H.R. (1991). A fuzzy linguistic approach to implementing a strategy for computer integrated manufacturing, Fuzzy Sets and Systems, 42, 191–204.

    Article  Google Scholar 

  • Wilson, I. (1994). Strategie Planning isn’t Dead — is Changed, Long Range Planning, 27, 12–24.

    Article  Google Scholar 

  • Yazici, A. and Koyuncu, M. (1997). Fuzzy object-oriented database modeling coupled with fuzzy logic, Fuzzy Sets and Systems, 89, 1–26.

    Article  Google Scholar 

  • Yeung, D.S. and Tsang, E.C.C. (1998). A Multilevel Weighted Fuzzy Reasoning Algorithm for Expert Systems, IEEE Transactions on Systems, Man, and Cybernetics, 28, 149–158.

    Article  Google Scholar 

  • Zadeh, L.A. (1975). The concept of a linguistic variable and its application to approximate reasoning. Parts 1 and 2, Inform. Sci. 8 (1975) 199–249, 301–357.

    Article  MathSciNet  MATH  Google Scholar 

  • Zadeh, L.A. (1975). The concept of a linguistic variable and its application to approximate reasoning. Part 3, Inform. Sci. 9 (1976) 43–80.

    Article  MathSciNet  MATH  Google Scholar 

  • Zimmermann, H.-J. and Gutsche, L. (1991). Multi-Criteria Analyse. Einführung in die Theorie der Entscheidungen bei Mehrfachzielsetzungen, Springer-Verlag, Berlin Heidelberg.

    Google Scholar 

  • Zimmermann, H.-J. (1989). Strategie Planning, Operations Research and Knowledge Based Systems, in: J.-L. Verdegay and M. Delgado, The Interface between Artificial Intelligence and Operations Research in Fuzzy Environment, 253–274.

    Google Scholar 

Download references

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer Science+Business Media New York

About this chapter

Cite this chapter

Lasek, M. (1999). Strategic Planning. In: Zimmermann, HJ. (eds) Practical Applications of Fuzzy Technologies. The Handbooks of Fuzzy Sets Series, vol 6. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4601-6_13

Download citation

  • DOI: https://doi.org/10.1007/978-1-4615-4601-6_13

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-7079-6

  • Online ISBN: 978-1-4615-4601-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics