New distributed-topsis approach for multi-criteria decision-making problems in a big data context

Abstract

Nowadays, the online environment is extra information-rich and allows companies to offer and receive more and more options and opportunities in multiple areas. Thus, decision-makers have abundantly available alternatives to choose from the best one or rank from the most to the least preferred. However, in the multicriteria decision-making field, most tools support a limited number of alternatives with as narrow criteria as possible. Decision-makers are forced to apply a screening or filtering method to reduce the size of the problem, which will slow down the process and eliminate some potential alternatives from the rest of the decision-making process. Implementing MCDM methods in high-performance parallel and distributed computing environments becomes crucial to ensure the scalability of multicriteria decision-making solutions in Big Data contexts, where one can consider a vast number of alternatives, each being described on the basis of a number of criteria.In this context, we consider TOPSIS one of the most widely used MCDM methods. We present a parallel implementation of TOPSIS based on the MapReduce paradigm. This solution will reduce the response time of the decision-making process and facilitate the analysis of the robustness and sensitivity of the method in a high-dimension problem at a reasonable response time.Three multicriteria analysis problems were evaluated to show the proposed approach's computational efficiency and performance. All experiments are carried out within GCP's Dataproc, a service allowing the execution of Apache Hadoop and Spark tasks in Google Cloud. The results of the tests obtained are very significant and promising.

Experimental investigation and optimization of heat pipe heat exchanger performance under two distinct heat transport mediums through TOPSIS approach

“…This will be applicable to solving the experiments in a multi-objective manner and helping to obtain the optimum experimental condition. The computational procedure easily adapts to the present working conditions and is more favourable to evaluating the results [26,28]. Generally, the TOPSIS approach having significant decision-making procedure followed by subsequent steps to determine the best optimum condition.…”

Evaluating E-Government Development among Africa Union Member States: An Analysis of the Impact of E-Government on Public Administration and Governance in Ghana

“…It helps African countries to interconnect easily and expands access to ICTs for underserved areas [47]. E-government rankings have gradually become very relevant because they have moved from merely measuring websites to critically evaluating applications and government qualities and guiding countries to focus on their efforts [48]. At the international level, Eurostat also analyzes and evaluates e-government data by using indicators that measure the relationships between citizens and businesses with public administration modernization.…”

“…Different software packages including Triptych package, SANNA-2014, and TOP-SIS Solver are available for solving MCDM problems, and all require Microsoft Excel-2013 [61,62]. TOPSIS has been applied in supply chain management, manufacturing systems, marketing management, and other research areas [48]. For example, the TOPSIS method was applied in analyzing EU countries based on their economic and e-commerce performance [63].…”

The purpose of the company beyond its position in the market: The new agent of social development

“…Therefore, it is necessary to manage an encyclopedic knowledge of information, considering the transparency provided by technologies (as observed in the factor related to leadership), but also allowing the correct relationship between companies and their stakeholders (Bhimavarapu et al, 2023;Lamrini et al, 2023). The purpose of a company also depends on fundamental conditions of understanding about its own identity.…”