Application of Fuzzy Cognitive Map for the Development of Scenarios: A Case Study of Wind Energy Deployment

In the present era characterized by uncertainty, innovation and change, scenario planning is an increasingly popular way to look at future environments because of its usefulness in times of uncertainty and complexity. Scenario planning outlines the possible futures, stimulates strategic thinking about the future and helps to overcome thinking limitations by presenting multiple futures. Developing Fuzzy Cognitive Map (FCM)-based scenarios is a very new approach. FCM is based on causal cognitive map which is an accepted intuitive method. This approach combines the benefits of both qualitative and quantitative analysis. In this study FCM-based scenarios are developed for the deployment of wind energy in a developing country to illustrate the usefulness of this approach. This study also describes the utilization of various tools proposed in the scenario planning literature to select and validate FCM-based raw scenarios. Moreover, a comparison of FCM-based scenario development approach with other prominent quantitative scenario development techniques is also presented in this chapter.

[1]  P. Schoemaker MULTIPLE SCENARIO DEVELOPMENT: ITS CONCEPTUAL AND BEHAVIORAL FOUNDATION , 1993 .

[2]  Robert E. Linneman,et al.  The use of multiple scenarios by U.S. industrial companies , 1979 .

[3]  Luc de Brabandere,et al.  Scenarios and creativity: Thinking in new boxes , 2010 .

[4]  Kasper Kok,et al.  Combining Two Approaches of Integrated Scenario Development to Combat Desertification in the Guadalentín Watershed, Spain , 2009 .

[5]  George Wright,et al.  The origins and evolution of scenario techniques in long range business planning , 2005 .

[6]  Kevin J. Shanahan,et al.  Scenario Planning: Toward a More Complete Model for Practice , 2008 .

[7]  J. Philip Craiger,et al.  Modeling Organizational Behavior With Fuzzy Cognitive Maps , 1996 .

[8]  Joseph Alcamo,et al.  Chapter Two Towards Guidelines for Environmental Scenario Analysis , 2008 .

[9]  P. Durance,et al.  Reciprocal influences in future thinking between Europe and the USA , 2010 .

[10]  Simon A. Austin,et al.  Causal mapping and scenario building with multiple organisations , 2010 .

[11]  Philippe Durance,et al.  Scenario building: Uses and abuses , 2010 .

[12]  P. Schoemaker Scenario Planning: A Tool for Strategic Thinking , 1995 .

[13]  C. Bezold,et al.  Lessons from using scenarios for strategic foresight , 2010 .

[14]  H. Kahn,et al.  The Year 2000: A Framework for Speculation on the Next Thirty-Three Years, , 1967 .

[15]  W. Huss,et al.  Scenario planning—What style should you use? , 1987 .

[16]  Wayne K. Talley,et al.  Stability and agreement criteria for the termination of Delphi studies , 1979 .

[17]  Antonie J. Jetter,et al.  Building scenarios with Fuzzy Cognitive Maps: An exploratory study of solar energy , 2011 .

[18]  Alan L. Porter,et al.  Forecasting and Management of Technology , 1991 .

[19]  Chrysostomos D. Stylios,et al.  Fuzzy Cognitive Maps in modeling supervisory control systems , 2000, J. Intell. Fuzzy Syst..

[20]  Michael Radnor,et al.  Roadmapping for Dynamic and Uncertain Environments , 2004 .

[21]  Joseph P. Martino,et al.  A review of selected recent advances in technological forecasting , 2003 .

[22]  Alan F. Murray,et al.  IEEE International Conference on Neural Networks , 1997 .

[23]  Ozcan Saritas,et al.  Systemic analysis of UK foresight results Joint application of integrated management model and roadmapping , 2004 .

[24]  Guido Reger,et al.  Advantages and Disadvantages of Scenario Approaches for Strategic Foresight , 2005 .

[25]  Liam Fahey,et al.  Learning from the Future: Competitive Foresight Scenarios: Editors Liam Fahey and Robert M. Randall, John Wiley (1998), 446 pp., £27.50 , 1998 .

[26]  Ulf Pillkahn,et al.  Using Trends and Scenarios as Tools for Strategy Development: Shaping the Future of Your Enterprise , 2008 .

[27]  Peter Schwartz,et al.  The Art of the Long View: Planning for the Future in an Uncertain World , 1996 .

[28]  Zahir Irani,et al.  Exploring Fuzzy Cognitive Mapping for IS Evaluation , 2006, Eur. J. Oper. Res..

[29]  Peter C. Bishop,et al.  The current state of scenario development: an overview of techniques , 2007 .

[30]  Kun Chang Lee,et al.  Fuzzy cognitive map approach to web-mining inference amplification , 2002, Expert Syst. Appl..

[31]  Michel Godet,et al.  How to be rigorous with scenario planning , 2000 .

[32]  Thomas J. Chermack,et al.  Improving decision-making with scenario planning , 2004 .

[33]  Ian Miles,et al.  Practical Guide to Regional Foresight in the United Kingdom , 2002 .

[34]  Larry Jenkins Selecting a variety of futures for scenario development , 1997 .

[35]  William R. Huss,et al.  A move toward scenario analysis , 1988 .

[36]  Rehan Sadiq,et al.  INTERPRETING FUZZY COGNITIVE MAPS (FCMs) USING FUZZY MEASURES TO EVALUATE WATER QUALITY FAILURES IN DISTRIBUTION NETWORKS , 2006 .

[37]  Bart Kosko,et al.  Fuzzy Engineering , 1996 .

[38]  Robert E. Linneman,et al.  The use of multiple scenarios by U.S. industrial companies: A comparison study, 1977–1981☆ , 1983 .

[39]  John H. Vanston,et al.  Alternate scenario planning , 1977 .

[40]  Antonie J. Jetter,et al.  Educating the guess: strategies, concepts and tools for the fuzzy front end of product development , 2003, PICMET '03: Portland International Conference on Management of Engineering and Technology Technology Management for Reshaping the World, 2003..

[41]  William R. Huss,et al.  Alternative methods for developing business scenarios , 1987 .

[42]  Karl Perusich,et al.  Using fuzzy cognitive maps to identify multiple causes in troubleshooting systems , 2008, Integr. Comput. Aided Eng..

[43]  Lutz E. Schlange Scenarios: The art of strategic conversation , 1997 .

[44]  Stephen R. Carpenter,et al.  Scenario Planning: a Tool for Conservation in an Uncertain World , 2003, Conservation Biology.

[45]  Wayne K. Talley,et al.  Individual stability in Delphi studies , 1980 .

[46]  Bart Kosko,et al.  Fuzzy Cognitive Maps , 1986, Int. J. Man Mach. Stud..

[47]  Paul J. H. Schoemaker,et al.  When and how to use scenario planning: A heuristic approach with illustration , 1991 .

[48]  Pentti Malaska,et al.  Scenarios in Europe—Who uses them and why? , 1984 .

[49]  Rod Taber,et al.  Knowledge processing with Fuzzy Cognitive Maps , 1991 .

[50]  Florentin Smarandache,et al.  FUZZY COGNITIVE MAPS AND NEUTROSOPHIC COGNITIVE MAPS , 2003, math/0311063.

[51]  Rossitza Setchi,et al.  Modelling IT projects success with Fuzzy Cognitive Maps , 2007, Expert Syst. Appl..

[52]  Paul J. H. Schoemaker,et al.  Integrating scenarios into strategic planning at Royal Dutch/Shell , 1992 .

[53]  Muhammad Amer,et al.  Development of fuzzy cognitive map (FCM) based scenarios , 2011, 2011 Proceedings of PICMET '11: Technology Management in the Energy Smart World (PICMET).

[54]  Celeste Varum,et al.  Directions in scenario planning literature – A review of the past decades , 2010 .

[55]  Jose L. Salmeron,et al.  Augmented fuzzy cognitive maps for modelling LMS critical success factors , 2009, Knowl. Based Syst..

[56]  George Burt,et al.  Why are we surprised at surprises? Integrating disruption theory and system analysis with scenario methodology to help identify surprises, disruptions and discontinuities , 2007 .

[57]  Kasper Kok,et al.  Linking stakeholders and modellers in scenario studies: The use of Fuzzy Cognitive Maps as a communication and learning tool , 2010 .

[58]  Gill Ringland,et al.  Scenario Planning: Managing for the Future , 1998 .

[59]  Laurence Brooks,et al.  Fuzzy cognitive map modelling educational software adoption , 2008, Comput. Educ..

[60]  G. Burt Revisiting and extending our understanding of Pierre Wack's the gentle art of re-perceiving , 2010 .

[61]  M. Foster,et al.  Scenario planning for small businesses , 1993 .

[62]  Hans-Horst Schröder,et al.  Integrating market and technological knowledge in the fuzzy front end: an FCM-based action support system , 2003, Int. J. Technol. Manag..