An Integrated Maximizing Consistency and Multi-Choice Goal Programming Approach for Hybrid Multiple Criteria Group Decision Making Based on Interval-Valued Intuitionistic Fuzzy Number
Journal:Informatica
Volume 25, Issue 2 (2014), pp. 185–208
Abstract
In this study, we evaluated the effects of the normalization procedures on decision outcomes of a given MADM method. For this aim, using the weights of a number of attributes calculated from FAHP method, we applied TOPSIS method to evaluate the financial performances of 13 Turkish deposit banks. In doing this, we used the most popular four normalization procedures. Our study revealed that vector normalization procedure, which is mostly used in the TOPSIS method by default, generated the most consistent results. Among the linear normalization procedures, max-min and max methods appeared as the possible alternatives to the vector normalization procedure.
Journal:Informatica
Volume 6, Issue 4 (1995): Special Issue on Information Systems and Software Systems Engineering, pp. 483–496
Abstract
The development of software systems is intensive person-oriented process. Therefore it is essential to use previous experience and knowledge. The extension of reuse through analogy is analysed in this paper. The proposed grouping of analogical methods, rules, etc., relies on their adaptability to application software development. The emphasis here is on analogue as a criterion to safeguard the desirable properties of application software. Knowledge kinds and mechanisms to enable reuse through analogy are discussed.