By Fuzzy Artificial Intelligence System in Selection Parent Strategies in Business

Abstract

The role of parent companies has become one of the most important topics in research related to strategy management. How to formulate parent strategies and use new scientific methods of data analysis is one of the most important research gaps in this field. The main issue in this study is what variables are effective in choosing the style of parent strategies and how to design a type of parent strategy style by designing an expert decision-making model. In this study, by reviewing previous researches, effective variables were identified and monitored using fuzzy Delphi decision making method and modeling using fuzzy expert system. Experts selected from parent companies in the field of gas and 27 companies analyzed. The results show that the variables of value creation level, organizational performance, life expectancy, competitiveness and organizational culture have the greatest impact on the choice of parent strategies style. Based on the model output, the highest frequency of data related to the choice of strategy control level and operational control strategy. Therefore, the choice of these two strategies according of the companies under study is a priority in decision-making.

Keywords

• strategy
• parent organization
• fuzzy systems
• artificial intelligence