Abstract
For each decision problem there is a competence set consisting of ideas, knowledge, information and skills for its satisfactory solution. When the decision has actually acquired and mastered the competence set, he/she will be able to solve the problem; on the other hand, when the decision maker thinks he/she has already acquired and mastered the competence set as perceived, he/she will feel confident and comfortable making the decision and/or undertaking the challenge. Therefore, as consultant, how do we suggest to help the decision maker successfully expand his/her competence set with minimal time/cost is very important.
The proposed suggestion theory is based on competence set analysis which is new and based on a “Set covering” concept instead of more traditional mathematical ordering and its maximization. The analysis may complement the existing methods for decision analysis.
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© 1991 Springer-Verlag
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Yu, P.L., Zhang, D. (1991). Introduction to suggestion theory. In: Skowronski, J.M., Flashner, H., Guttalu, R.S. (eds) Mechanics and Control. Lecture Notes in Control and Information Sciences, vol 151. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0006740
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DOI: https://doi.org/10.1007/BFb0006740
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