In today’s competitive environment evaluating firms’ performance properly, is an important issue not only for investors and creditors but also for the firms that are in the same sector. Determining the competitiveness of the firms and evaluating the financial performance of them is also crucial for the sector’s development. The aim of this study is developing a fuzzy model to evaluate the perfo...

Due to the increasing competition of globalization, selection of the most appropriate supplier is one of the key factors for the success of a supply chain management. Due to conflicting evaluations and insufficient information about the criteria, Intuitionistic fuzzy sets (IFSs) are considered as an impressive tool and utilized to specify the relative importance of the criteria. The aim of this...

TOPSIS, known as the “Technique for Order of Preference by Similarity to Ideal Solution” (TOPSIS), is one well-known methods solving “multi-criteria decision-making” (MCDM) problems. Many TOPSIS have been developed solve real-life problems using neutrosophic sets. However, no study has method under interval bipolar linguistic environments. Therefore, this aims present a new concept “interval se...

Abstract The quantitative multiple criteria decision making methods are practical to use in decision support systems. In this paper we analyses the quantitative multiple criteria decision making methods and sensitivity analysis methods usage in decision support systems. Both species of these methods are strongly mathematically based. We take notice of sensitivity of these methods to initial dat...

Information Systems (IS) play a major role in developing and sustaining competitive advantage in the global marketplace. The Logistics Information System (LIS) is part of the information system of the organization that is integrated in the supply chain and is correlated with the partner organizations. Decision making problem is the process of finding the best option from all of the feasible alt...

The feature of our method different from other fuzzy grey relation method for supermixed multiple attribute group decision-making is that all of the subjective and objective weights are obtained by interval grey number and that the group decisionmaking is performed based on the relative approach degree of grey TOPSIS, the relative approach degree of grey incidence and the relative membership de...

Petroleum is an essential resource for the development of society and its production is huge. There is a great risk of leakage of oil during production, refining, and transportation. After entering the environment, the oil pollutants will be a great threat to the environment and may endanger human health. Therefore, it is very important to remediate oil pollution in the subsurface. However, it ...

Spread mooring systems are associated with high level uncertainties and risks during tanker loading/ unloading operations. In addition, the design of such complex systems consists of many subjective and imprecise parameters. Therefore, in the present study, a fuzzy based decision support methodology is designed to overcome aforementioned characteristics. The fuzzy methodology incorporates quali...

This paper presents an efficiency assessment of African airlines, using the TOPSIS e Technique for Order Preference by Similarity to the Ideal Solution. TOPSIS is a multi-criteria decision making technique, which similar to DEA (Data Envelopment Analysis), ranks a finite set of units based on the minimisation of distance from an ideal point, and the maximisation of distance from an anti-ideal p...