A FUZZY-BASED BUSINESS DECISION MAKING SYSTEM: FROM A MULTI-OBJECTIVE PERSPECTIVE

Authors

  • Akinyemi Omololu Akinrotimi
  • Mabayoje Modinat Abolore

Keywords:

Business Activities, Decision Making, Fuzzy Method, Linear Programming, Objective Functions

Abstract

In order to provide essential managerial services for making critical business-biased decisions, there is need for accurate data. A business activity hinged on an effective administrative course of action will not only portray the manager of the business as adept but also help advance the financial interests of the organization, while minimizing its losses in this respect. In this paper, a decision making model for controlling business activities is developed, using a fusion of linear programming methods and a set of fuzzy membership functions. In the research conducted, it is revealed that: to improve the effectiveness of a model used for making multiple objective decisions for business related activities, the use of a fuzzy method is more effective than the use of a non-fuzzy method in minimizing the objective functions. It was also discovered that when computing the objective functions of a problem, a more precise result can be obtained by fortifying a linear programming model, with a technique for managing imprecise data.

Author Biographies

Akinyemi Omololu Akinrotimi

Augustine University Ilara-Epe, Epe, Lagos State, Nigeria

Mabayoje Modinat Abolore

University of Ilorin, Ilorin, Kwara State, Nigeria

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Published

2022-12-21

How to Cite

Akinrotimi, A. O., & Abolore, M. M. . (2022). A FUZZY-BASED BUSINESS DECISION MAKING SYSTEM: FROM A MULTI-OBJECTIVE PERSPECTIVE. AU EJournal of Interdisciplinary Research (ISSN: 2408-1906), 7(2), 98-112. Retrieved from http://www.assumptionjournal.au.edu/index.php/eJIR/article/view/6674