In this paper we show how the Belief-Function based Technique for Order Preference by Similarity to Ideal Solution (BF-TOPSIS) approach can be used for solving non-classical multi-criteria decisionmaking (MCDM) problems. We give simple examples to illustrate our presentation.

Collaboration in research continuously gains importance. Recent developments in online collaboration technology, namely social research network sites (SRNS), specifically aim to support research collaboration. SRNS allow researchers to present themselves, to network, to communicate, and to collaborate. Acceptance of this technology by researchers has received little academic attention. Understa...

In order to rationalize material selection in green design, this study presents an attempt combine the methods of generalized Data Envelopment Analysis (DEA) and Technique for Order Preference by Similarity Ideal Solution (TOPSIS). By establishing a index system, G-CCR model DEA was first used select effective materials from candidate samples, TOPSIS then sort suppliers. The combined DEA/TOPSIS...

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...

Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is an algorithm that can be used alternative design in a decision support system (DSS). TOPSIS provides recommendation so users get information their decision, example tourist wants visit destination Malang, then recommendations destinations the form ranking recommendation, with highest rank most recommended recommendati...

With the growing demand and commercial availability of cloud services, the need for comparison of their functionality available to customers at different prices and performance has arisen. It is needed to be said that relevant and fair comparison is still challenging due to diverse deployment options and dissimilar features of different services. The aim of this paper is to rank cloud services ...

The objective of this article is to develop an empirically based framework for formulating and selecting a vendor in supply chain. This study applies the fuzzy set theory to evaluate the vendor selection decision. Applying Analytic Hierarchy Process (AHP) in obtaining criteria weights and applied Technique for Order Performance by Similarity to Idea Solution (TOPSIS) for obtaining final ranking...

In this study, both the Minkowski distance function and the grey number distance function are integrated into the TOPSIS to develop a dynamic multi-attribute decision making model for effectively handling the uncertain information. An illustration example of subcontractors’ safety performance evaluation is adopted to demonstrate the practicability of the proposed model. Results show that the pr...

A supply chain network coordinates flow of components from different suppliers to enhance a product that meets customers’ value expectations. Traditionally, companies consider price, quality, and lead time for selecting appropriate suppliers. Increasing environmental concerns, government regulations, and long-term profitability have forced companies to reduce pollution. In addition, in a comple...