Warehouse location selection is a multi-criteria decision problem including both quantitative and qualitative criteria and has a strategic importance for many companies. The conventional approaches to warehouse location selection problem tend to be less effective in dealing with the imprecise or vague nature of the linguistic assessment. Under many situations, the values of the qualitative crit...

In this work, a version of the technique for order preference by similarity ideal solution (TOPSIS) with entropic regularization approach is developed for solving the fuzzy multi-objective nonlinear programming (MONLP) problems. Applying the basic principle of compromise of TOPSIS, the fuzzy MONLP problem can be reduced into a fuzzy bi-objective nonlinear programming problem. Moreover, followin...

Quality credit has been an academic and commercial hotspot recently. This paper is mainly devoted into using a quantitative method to evaluate credit quality. Firstly, a plain but logical indicator system of quality credit is established. Then, the classical MCDM method TOPSIS is introduced to evaluate the credit quality of 8 air-conditioning enterprises in China market. The discussion of evalu...

Technique for Order preference by Similarity to Ideal Solution (TOPSIS) is a Multi Attribute DecisionMaking (MADM) technique employed in diverse disciplines for the prioritization of alternative options/solutions to a problem. Test vector compaction for analog fault detection is a field which is witnessing continuous growth and experimentation. This study suggests a novel TOPSIS-based approach ...

This paper is devoted to present Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method for multi-attribute group decision making under rough neutrosophic environment. The concept of rough neutrosophic set is a powerful mathematical tool to deal with uncertainty, indeterminacy and inconsistency. In this paper, a new approach for multi-attribute group decision making prob...

The simulation model is a proven tool in solving nonlinear and stochastic problems and allows examination of the likely behavior of a proposed manufacturing system under selected conditions. However, it does not provide a method for optimization. A practical problem often embodies many characteristics of a multiresponse optimization problem. The present paper proposes to solve the multiresponse...

Traditional Multi-Criteria Decision Making (MCDM) methods have now become outdated; therefore, most researchers are focusing on more robust hybrid MCDM models that combine two or techniques to address decision-making problems. The authors attempted create novel systems in this paper by integrating Additive Ratio ASsessment (ARAS) with Technique for Order of Preference Similarity Ideal Solution ...

Every planet in the universe has its own characteristics. These features make planets different among themselves. For this reason, all properties of must be evaluated at same time when determining habitable planets. This situation requires a multi-criteria decision making (MCDM) approach. In study, list (nine and Moon) been considered. Seventeen criteria such as mass, gravity, diameter, density...

Supply chain management is to improve competitive stress. In today’s world, terms and customer sense have altered in favor of an environmentalist manner. As a result this, green supplier selection has become very important topic. the approach, agility, lean process, sustainability, environmental sensitivity, durability are pointed. Like classical problems, criteria generally emphasize selection...

The management of the health-care wastes is one of the most important problems in Istanbul, a city with more than 12 million inhabitants, as it is in most of the developing countries. Negligence in appropriate treatment and final disposal of the healthcare wastes can lead to adverse impacts to public health and to the environment. This paper employs a fuzzy multi-criteria group decision making ...