Algebraic characteristics of extended fuzzy numbers
Information Sciences: an International Journal
Modeling the relationship between corporate strategy and wealth creation using neural networks
Computers and Operations Research - Neural networks in business
Fuzzy group decision-making for facility location selection
Information Sciences—Informatics and Computer Science: An International Journal
Multiple attribute decision-making methods for the dynamic operator allocation problem
Mathematics and Computers in Simulation
Comparison among three analytical methods for knowledge communities group-decision analysis
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A clustering method to identify representative financial ratios
Information Sciences: an International Journal
Applying FMCDM to evaluate financial performance of domestic airlines in Taiwan
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Fuzzy performance evaluation in Turkish Banking Sector using Analytic Hierarchy Process and TOPSIS
Expert Systems with Applications: An International Journal
Intuitionistic fuzzy Choquet integral operator for multi-criteria decision making
Expert Systems with Applications: An International Journal
A fuzzy extension of Saaty's priority theory
Fuzzy Sets and Systems
Expert Systems with Applications: An International Journal
Parting curve selection and evaluation using an extension of fuzzy MCDM approach
Applied Soft Computing
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
For manufacturing industries, financial performance evaluation is very important in a highly competitive environment. Therefore, an accurate and appropriate performance evaluation is critical. As financial performance indicators reflect the competitiveness of a company, they must be carefully identified in the evaluation process. Generally, traditional accounting-based financial performance (AFP) measures are used for performance evaluation. However, these measures are not sufficient for performance evaluation solely in the modern industry time. So, value-based financial performance (VFP) measures have recently been introduced to express the company value. In this paper, we propose a new financial performance evaluation approach to rank the companies of each sector in the Turkish manufacturing industry. For this purpose, a hierarchical financial performance evaluation model is structured based on the AFP and VFP main-criteria and their sub-criteria. We use fuzzy analytic hierarchy process (FAHP) to determine the weights of the criteria. The companies are ranked according to their own manufacturing sector by using TOPSIS and VIKOR comparatively. The results show that the obtained ranks of the companies by these methods are almost same with respect to their own sectors.