Decision-making and performance measurement models with applications to robot selection
Computers and Industrial Engineering
Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
Inter-company comparison using modified TOPSIS with objective weights
Computers and Operations Research
Multiple-attribute decision making methods for plant layout design problem
Robotics and Computer-Integrated Manufacturing
Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Decision making in academia: A case of the dean selection process
Mathematical and Computer Modelling: An International Journal
Review: A state-of the-art survey of TOPSIS applications
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
In today's organizations, performance measurement comes more to the foreground with the advancement in the high technology. So as to manage this power, which is an important element of the organizations, it is needed to have a performance measurement system. Increased level of competition in the business environment and higher customer requirements forced industry to establish a new philosophy to measure its performance beyond the existing financial and non-financial based performance indicators. In this paper, a conceptual performance measurement framework that takes into account company-level factors is presented for a real world application problem. In order to use the conceptual framework for measuring performance, a methodology that takes into account both quantitative and qualitative factors and the interrelations between them should be utilized. For this reason, an integrated approach of analytic hierarchy process (AHP) improved by rough sets theory (Rough-AHP) and fuzzy TOPSIS method is proposed to obtain final ranking.