Group decision support with the analytic hierarchy process
Decision Support Systems
A procedure for ranking efficient units in data envelopment analysis
Management Science
The AHP approach for selecting an automobile purchase model
Information and Management
Using a multi-criteria decision making approach to evaluate mobile phone alternatives
Computer Standards & Interfaces
Using AHP and TOPSIS approaches in customer-driven product design process
Computers in Industry
An AHP-based methodology to rank critical success factors of executive information systems
Computer Standards & Interfaces
Decision making in academia: A case of the dean selection process
Mathematical and Computer Modelling: An International Journal
Integrated framework of risk evaluation and risk allocation with bounded data
Expert Systems with Applications: An International Journal
Review: A state-of the-art survey of TOPSIS applications
Expert Systems with Applications: An International Journal
| Hi-index | 12.05 |
In this paper we propose an integrated model from the most important and usable Multi-Criteria Decision Making (MCDM) techniques, means Analytic Hierarchy Process (AHP) and Technique for Ordering Preference by Similarity to Ideal Solution (TOPSIS), in order to examine the improvement fields of Iran automobile industry. A new approach, AT method, has been suggested to combine the results of two techniques to find the final ranking. Besides, we propose a developing Data Envelopment Analysis (DEA) model as a basis for comparing the reliability of results of the MCDM techniques, which depicts AT is more reliable than AHP and TOPSIS. Our results have certified that safety and then price are the customers' most important criteria for automobile selection. After comparing the internal and external products, and ranking them based on the criteria and sub-criteria, the necessity to improve internal automobiles on various fields has been prioritized.