risk response planning is one of the main phases in the project risk management and has major impacts on the success of a large-scale project. since projects are unique, and risks are dynamic through the life of the projects, it is necessary to formulate responses of the important risks. the conventional approaches tend to be less effective in dealing with the impreciseness of risk response pl...

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 ...

introduction several valuable calcite deposits are located in ghare-gheshlagh, south basin of urmia lake, nw iran. ghare-gheshlagh area is situated in the northern part of tectono-sedimentary unit, forming nw part of tertiary sanandaj-sirjan geological belt (stocklin and nabavi, 1972). the predominant rock types of the area include light color limestones (qom formation) and quaternary alluviums...

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...

The technique for order preference by similarity to ideal solution (TOPSIS) is a technique that can consider any number of measures when seeking to identify solutions close to an ideal and far from a nadir solution. TOPSIS traditionally has been applied in multiple criteria decision analysis. In this article, we propose an approach to develop a TOPSIS classifier. We demonstrate its use in credi...

performance of a supply chain highly depends on its suppliers and therefore, appropriate selection of them is of great importance. this paper presents an integrated model of an mcdm method and a mathematical programming in order to select suppliers and determine lot sizes in the supply chain. the proposed framework comprises two main sub-models; the qualitative sub-model seeks to evaluate the s...

The paper investigates a technique for order preference by similarity to ideal solution (TOPSIS) method to solve multi-attribute decision making problems with bipolar neutrosophic information. We define Hamming distance function and Euclidean distance function to determine the distance between bipolar neutrosophic numbers. In the decision making situation, the rating of performance values of th...

Choosing the proper supplier has a critical role in design of supply chain. This problem is complicated because each supplier may fulfills some of the manufacturer criteria and choosing the best supplier is a Multiple-Criteria Decision Making problem. This paper proposes a novel hybrid approach to rank suppliers in advertising industry and considers two new criteria to evaluate the suppliers in...