Abstract
Soft computing modeling of business planning is considered. Our ultimate aim is to provide new proactive and innovative resolutions for designing a soft computing simulation tool for learning business planning. In our Learning Business Plan Project we have established a theory on business planning which assumes that we should replace the traditional business planning with a more creative approach and thus we should focus more on invention and development of business ideas. We have designed a model of five stages according to our theory, and we apply soft computing and cognitive maps for our model simulations. In simulation we particularly apply linguistic cognitive maps which seem more versatile than the corresponding numerical maps. Two modeling examples are also provided.
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Niskanen, V.A. (2007). Application of Fuzzy Cognitive Maps to Business Planning Models. In: Castillo, O., Melin, P., Ross, O.M., Sepúlveda Cruz, R., Pedrycz, W., Kacprzyk, J. (eds) Theoretical Advances and Applications of Fuzzy Logic and Soft Computing. Advances in Soft Computing, vol 42. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72434-6_13
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DOI: https://doi.org/10.1007/978-3-540-72434-6_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72433-9
Online ISBN: 978-3-540-72434-6
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