1. A Novel Genetic Algorithm Based Method for Building Accurate and Comprehensible Churn Prediction Models

H. Abbasimehr; S. Alizadeh

Volume 2, Issue 4 , Autumn 2013, Pages 1-14

  Customer churn has become a critical problem for all companies in particular for those that are operating in service-based industries such as telecommunication industry. Data mining techniques have been used for constructing churn prediction models. Past research in churn prediction context have mainly ...  Read More

2. Data Envelopment Analysis Based on MPSS Efficient and Inefficient Frontiers

F. Piran; F Hosseinzadeh Lotfi; M. Rostami-Malkhalifeh

Volume 2, Issue 4 , Autumn 2013, Pages 15-25

  Data envelopment analysis (DEA) is a non-parametric analytical methodology widely used in efficiency measurement of decision making units (DMUs). Conventionally, after identifying the efficient frontier, each DMU is compared to this frontier and classified as efficient or inefficient. This thesis introduces ...  Read More

3. Contractor Selection Using Fuzzy Hybrid AHP-VIKOR

S. Zamani; H. Farughi; M. Soolaki

Volume 2, Issue 4 , Autumn 2013, Pages 26-40

  In recent years, contractors play a major role in construction projects of buildings, roads, or waterworks under supervision of project owners or employers of these projects. So, that is why contractor selection is an important decision for employers. Contractor selection is a multicriterion decision ...  Read More

4. Fuzzy Index Tracking Portfolio Selection Model Based on Value-at-Risk

S.A. Hosseini Imeni; A.A. Najafi

Volume 2, Issue 4 , Autumn 2013, Pages 41-57

  Index tracking is one of the most important passive strategies which describes the process of attempting to track the performance of some specified benchmark indexes. Most recent studies determined security returns in conventional models by the precise historical data. However, such precise data are ...  Read More

5. Closed-Loop Supply Chain Network with Green Supplier Selection and Disassembly of Products: A Bi-Objective Model

S. Ghayebloo; M.J. Tarokh; M. Abedzadeh

Volume 2, Issue 4 , Autumn 2013, Pages 58-71

  This paper aims to study the impact of product greenness and part reliability on reverse supply chain network through green supplier selection and disassembly of products. It proposes a bi-objective mathematical modeling for a closed-loop supply chain network considering green supplier selection and ...  Read More