Assessment and ranking directors of the FARS Province municipality using fuzzy multi-criteria decision making approach and 360 degree model
Publish Year: 1393
نوع سند: مقاله کنفرانسی
زبان: English
View: 579
This Paper With 11 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
این Paper در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
AMSCONF02_450
تاریخ نمایه سازی: 1 مهر 1394
Abstract:
Assessment is one of important and influential tools in management to achieve information required for decision making about performance of employees working in an organization. With applying this tool appropriately, not only organization’s missions and targets become effective, but also 30 degree method is one of methods which are being employed to assess personnel. In this method, individual is assessed in viewpoint of people who are working with and also through self-assessment. In this paper, due to sensitivity of assessing directors of FARS Province municipality, some of mentioned directors have been assessed using 360 degree model. Criteria used in assessment have been obtained by competency model of directors in municipality. Criteria’s weights were determined via fuzzy analytic hierarchy process. Since, each of evaluator groups (self-assessment, subordinate, manager, and coworker) are not the same, their weights also have been determined using AHP. Then a network is being established for each ofdirectors and fuzzy decision matrix is being formed. Eventually, directors have been ranked using fuzzy TOPSIS. In aforementioned steps due to ambiguity in decision space and inaccuracy of opinions, fuzzy logic in a form of lingual-fuzzy variables have been used
Keywords:
Ranking , Director Assessment , 360 Degree Assessment , Fuzzy Analytic Hierarchy Process , Fuzzy TOPSIS
Authors
Ali Reza Moghli
Department of management, Payam Nour University
Zahra Akbari
Department of management, Payam Nour University
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :