Journal of Japan Industrial Management Association
Online ISSN : 2432-9983
Print ISSN : 0386-4812
M & A Appraising Model Using Fuzzy Conditional Probability
Masanobu MATSUMARUHiroshi YAMASITAMamoru OZEKI
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1993 Volume 43 Issue 6 Pages 446-451

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Abstract
In this study, we deal with an appraisal of merged companies. The evaluating ways of mergered companies consist of quantified indexes. But even if we obtain highly reliable indexes, it is an individual who rates the success of a merger, which means the rating lacks standardization. So in our study, we introduce fuzziness as a method to capture the indefinite factor of the rater. From this study we have confirmed the following items. We have (1) constructed a company rating model considering the fuzziness of the individual ; (2) obtained the criteria of the so-called "good companies" ; (3) obtained the fuzzy probability of the so-called "good companies" ; (4) quantified the information of merger effect from the fuzzy message ; and (5) estimated the appraisal of merged companies.
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© 1993 Japan Industrial Management Association
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