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The purpose of this research is to present a model for evaluating knowledge management empowerment based on Fuzzy Inference System (FIS). First, the initial model was compiled based on the review of the literature. After presenting the initial model to the experts, empowerment factors and their indexes were chosen by the Delphi Fuzzy Technique according to experts’ revisions and inputs. Culture, Structure, Information Technology and Leadership were confirmed as dimensions involved in empowerment. In order to gather information and extract FIS’ rules according to experts’ knowledge and experiences, interviews were conducted. With FIS outputs, knowledge management empowerments’ status would be determined. This evaluation helps managers perform the gap analysis between the existent knowledge management empowerment levels and the desired ones and helps them in decision making. After system design and evaluating its’ credibility, a questionnaire was used for measuring knowledge management empowerment factors and their indexes (FIS inputs) at Pasargad Bank.  FIS outputs show that the knowledge management empowerment situation at Pasargad Bank is at medium levels. Finally, in order to improve the firm’s current situation, certain solutions were provided. According to the literature review, evaluating knowledge management empowerment factors in the banking sector and using the Fuzzy Inference System for the evaluation of the knowledge management empowerment factors were innovations of this research.

Keywords: Knowledge Management, Knowledge Management Empowerment Factors, Fuzzy Inference System

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