Designing a Combined-fuzzy Methodology to Improve Organizational Diagnosis Process Effectiveness through Identification and Assessment of Effective Parameters

Organizational diagnosis is a systematic and scientific method to identify, categorize and single out the obstacles and their impact on organizational performance through interaction between internal and external views and preparation and setting up operational plans to solve them in the organization. Providing standard products and emphasizing on the financial measures do not guarantee the survival. Consequently, organizations are obliged to constantly analyze the market and anticipate the future needs of the customers. By examining various organizational diagnosis approaches and processes and considering the specifications and issues for all companies in Iran, this paper attempted to provide an integrated model to be established as an organizational diagnosis process in a selected company. Regarding the studies done in this field by using various models for the evaluation of the organization performance and organizational diagnosis, this research aimed to employ a comprehensive approach to identify and solve problems in organizations and to provide a fuzzy methodology to identify and rank the most important indicators of organizational diagnosis in the organization. As a case study in RojinTak Agro–industry, the study used the technique for order of preference by similarity to ideal solution (TOPSIS) as one of the multi-attribute decision-making (MADM) techniques for identifying and ranking criteria and EFQM approach in order to identify problems and provide solutions.