Improved Weighted Fuzzy for Evaluating the Impact of Leadership Methodology on Authoritative Piece

Abstract

The role of fuzzy logic in the context of leadership within an organization is to provide a framework for dealing with the inherent ambiguity and uncertainty that often accompanies leadership assessments. Leadership plays a crucial role in influencing the performance of organizations in diverse sectors. The intricate nature of this relationship and the inherent uncertainties in real-world data have made quantifying the precise impact of different leadership styles on organizational performance a complex challenge. Organizational success is undeniably linked to effective leadership, where leadership style dictates how individuals or groups are motivated to achieve organizational goals efficiently. In this study, conducted a comprehensive investigation into the influence of leadership styles on the performance of Dr. Narla Tata Rao Thermal Power Station in Ibrahimpatnam, India. Our research employs an optimized weighted fuzzy logic model, integrating fuzzy logic with optimization techniques, to evaluate the impact of leadership styles on key performance metrics. The proposed weighted model focus on three primary leadership styles: Autocratic, Democratic, and Transformational, each characterized by distinct leadership behaviors and approaches. The performance metrics under examination encompass profit margins, employee satisfaction levels, and productivity indices. By incorporating fuzzy logic, our model accommodates the inherent ambiguity in assessing the impact of leadership styles, enabling nuanced and context-aware analysis. Optimization techniques further refine the model parameters to align with the specific organizational context, enhancing accuracy and applicability. Data for this study is collected from the Dr. Narla Tata Rao Thermal Power Station, employing a stratified random sampling technique and drawing insights from a diverse cross-section of employees, including Clerks, Managers, and Supervisors. The data is derived from both primary and secondary sources. Primary data is gathered through a self-administered questionnaire in a survey instrument, while secondary data is obtained through a review of existing literature and company records, including journals, etc. The collected data is entered into Excel and analyzed using SPSS 26.0, incorporating multiple regression analysis. The results reveal a significant "Influence of Leadership Styles on Organizational Performance" within Dr. Narla Tata Rao Thermal Power Station, a part of Andhra Pradesh Power Generation Corporation Limited (APGENCO) in Ibrahimpatnam. This paper provides empirical results that offer both quantitative and qualitative insights, shedding light on the distinct effects of each leadership style on organizational performance, while highlighting trade-offs and benefits associated with different leadership approaches.