CHANGING STRATEGIES USING FUZZY SETS RELATIONS – A DIAGNOSTICS APPROACH
R. Chavez. Facultad de Químico Farmacobiología, ININEE. Email: pintachavez@gmail.com
F. González. Facultad de Ciencias Contables y Administrativas, Universidad Michoacana, Mexico, Email: fsantoyo@umich.mx
B. Flores. Facultad de Ciencias Contables y Administrativas, Universidad Michoacana, Mexico, Email: betyf@umich.mx
J.J. Flores. División de Estudios de Posgrado, Facultad de Ingeniería Eléctrica, Universidad de Michoacana, Mexico, Email: juanf@umich.mx
- Fuzzy Economic Review: Volume 22, Number 2, 2017
- DOI: 10.25102/fer.2017.02.03
Abstract
The traditional Second Order Change (SOC) model contains a set of equations that allow us to determine the possible strategy change using probability. In this article, we propose a simpler heuristic model, based on fuzzy numbers, to diagnose the organization’s personnel, and determine whether the strategy needs to be changed. The proposal starts with the diagnostics provided by experts in favor or against the new strategy. These experts are included in the SOC model through fuzzy set relations that indicate the preference to the current strategy. That strategy decreases tension and avoids early changes as a tactical strategy. Finally, we must prove there is a significant SOC using the Hamming distance.
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