A Multi-Criteria Decision-Making Approach That Combines Fuzzy Topsis and Dea Methodologies

Abstract

Employee selection is a multi-criteria decision-making (MCDM) problem for selecting suitable applicants from a ready pool. The selection aims to make use of their knowledge, relevant skills, and other characteristics to perform a specific job. The aim of this study is to develop a systematic approach for selecting the best candidates among the air traffic controllers (ATCs) for aviation in Saudi Arabia. Three integrated methods were employed for decision-making in this study. First, a fuzzy decision tree was applied to determine the criteria weights, then the fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was employed to rank the attributes. In the last step, the Data Envelopment Analysis (DEA) was used to transform the qualitative variables into quantitative equivalences. A survey was conducted by national and international decisionmakers to elicit the necessary information on the criteria and sub-criteria of the air traffic control system. The decision problem was formulated by employing five criteria and ten applicants. The relationship between the fuzzy TOPSIS and fuzzy-weighted average was very positive for decision-making. The outcomes of the fuzzy TOPSIS and DEA encouraged the development of a decision support system for the selection of ATCs. OPSOMMINGDie kies van werknemers vanuit 'n lys van gepaste aansoeke is 'n multi-kriteria besluitnemingsprobleem. Die seleksie se doel is om gebruik te maak van die potensiële werknemers se relevante vaardighede en ander eienskappe om 'n spesifieke taak te verrig. Die doel van hierdie navorsing is om 'n sistematiese benadering, om die beste kandidate vir lugruimbeheerderposisies in Saoedi Arabië te identifiseer, te ontwikkel. Drie geïntegreerde metodes is ingespan vir die besluitneming in hierdie studie. Eerstens is 'n wasige besluitnemingsboom toegepas om die kriteria gewigte te bepaal. Daarna is die wasige tegniek van Orde Voorkeur deur Ooreenkoms tot die Ideale Oplossing toegepas om die kenmerke te rangskik. Laastens is die Data Omvangs Analise gebruik om die kwalitatiewe veranderlikes tot kwantitatiewe gelykhede om te skakel. 'n Peiling is onder nasionale en internasionale besluitnemers geneem om die noodsaaklike inligting rakende die kriteria en sub-kriteria van die lugruimbeheerstelsel te bepaal. Die besluitnemingsvraagstuk is geformuleer deur vyf kriteria en tien aansoekers in te span. Die verhouding tussen die wasige Orde Voorkeur deur Ooreenkoms tot die Ideale Oplossing en wasig-geweegde gemiddeld was besonder positief vir besluitneming. Die resultate van die wasige Orde Voorkeur deur Ooreenkoms tot die Ideale Oplossing en die Data Omvangs Analise moedig die ontwikkeling van 'n besluitneming ondersteuningstelsel vir lugruimbeheerders aan.

Assessment of Energy Systems Using Extended Fuzzy AHP, Fuzzy VIKOR, and TOPSIS Approaches to Manage Non-Cooperative Opinions

“…Subsequently, a comparison was carried out between our proposed methods and some existing methods proposed previously in [40,[68][69][70]. The comparative results and findings are presented in Table 18.…”

“…On the other hand, the FPI distances of alternative energy systems were also calculated by the fuzzy TOPSIS approach, and solar PV was found to be 0.986716, the most ideal value and closest to 1. Subsequently, a comparison was carried out between our proposed methods and some existing methods proposed previously in [40,[68][69][70]. The comparative results and findings are presented in Table 18.…”

An Artificial Intelligence and Knowledge-Based System to Support the Decision- Making Process in Sales

“…Every decision involves risk; but this risk can be minimised if tools are available that can transform often incomplete data into useful information that can aid decision-making [26]. A simplified process can facilitate the decision-making process at an operational level, making the decision successful, proactive, preventive, and less complex [28].…”

“…Data are codes that constitute the raw material of the information -that is, data are the untreated information that still does not have relevance. The data represent one or more meanings of a system that alone cannot transmit a message or represent some knowledge [26]. Knowledge is the interpretation of information in a context -the result of perception, learning, and reason [14].…”

Application of Fuzzy Topsis Method and Dopga Algorithm in Purchasing Decision Process: 3d Television Example

“…Lee et al (2014) used fuzzy TOPSIS to improve the general flood vulnerability approach. Taylan et al (2014) combined fuzzy decision tree, fuzzy TOPSIS, and DEA for selecting Air Traffic Controllers (ATCs).…”