A novel hierarchical fuzzy inference system for supplier selection and performance improvement in the oil &amp; gas industry

Sarfaraz, Amir Homayoun; Yazdi, Amir Karbassi; Nezhad, Elaheh Ashtari; Hosseini, Raheleh Sadat

doi:10.1080/12460125.2022.2090065

Cited by 6 publications

(1 citation statement)

References 67 publications

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“…FL tool was used to carry out a comparative study of Post University Matriculation Examination (PUME) and the student's present CGPA, these were mapped together as a way to measure high performing students and low performing based on their PUME scores in two subjects and their CGPA and to also served as an indicator to the origin of a students' problem (Peter, 2015). (Sarfaraz et al 2022), used Hierarchical fuzzy Inference method to develop a roadmap, for supplier's selection for an organization, result indicate that the system, can help in selecting the most appropriate supplier for an organization Hierarchical fuzzy expert system was utilized to predict performance in an organization between financial and nonfinancial factors, the results suggest effectiveness in used hierarchical fuzzy method for comparism, (Rathore & Elwakil, 2020). A hierarchical fuzzy method was used to compare product between complex tariff packages for bank,utilized by the marketing department to choose a partner bank, the method uncover effectiveness of the tools in making comparism between quantities (Mints et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Enhanced Approach for Change of Course of Study Using Fuzzy Logic

Mathew Karma,

Zachariah,

Aminu

et al. 2024

FJS

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In tertiary institutions of Nigeria, students are admitted through the Unified Tertiary Matriculation Examination (UTME) to study courses of their choice. However, most students often perform poorly. Thus, the need to change their programme of study becomes a necessity or risk being withdrawn from the university. The student for a change of programme is required to present a cumulative grade point average (CGPA), which informs the student’s status and commonly used criteria to determine the student’s qualification for a change of programme of study. The students are allowed to choose or advised which programme to choose based on their perceived strength. This is not scientific and have proven ineffective since may be based on biased perception. Thus, most of these students still perform poorly in the new programme of study and may end up being withdrawn. In order to minimize subjectivity and handle uncertainty in such a decision process, this paper proposed a fuzzy logic approach for the change of programme of study by considering the student’s Senior Secondary School Certificate Examination (SSCE) result(s), UTME scores, and grades obtained in the various examined and related courses. The CGPA initiates the entire process. The simulation was done in MATLAB, inputs were supplied and the recommendation is generated. The strength values of each input is calibrated from, as from which the system recommends other faculties, Computer Science, Statistics, Physics and mathematics respectively. The system enhances the chance that a student may perform in their newly proposed programme.

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Section: Introductionmentioning

confidence: 99%

Enhanced Approach for Change of Course of Study Using Fuzzy Logic

Mathew Karma,

Zachariah,

Aminu

et al. 2024

FJS

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An empirical investigation of barriers to the adoption of smart technologies integrated urban agriculture systems

Srinivasan

Yadav

2023

Journal of Decision Systems

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A New ELECTRE Method Based on Left and Right Score for Multicriteria Decision-Making

Jokar,

Jalali Varnamkhasti,

Hadi-Vencheh

2023

Computational Intelligence and Neuroscience

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The procedure for ranking the performance of systems using the method Elimination and Choice Translating Reality (ELECTRE) is one of the most important and practical methods in multicriteria decision-making (MCDM). The classical ELECTRE technique uses the concept of dominance implicitly. In this method, all options are evaluated using a comparison of unexpected rankings, thus eliminating ineffective options. All stages of the electrification technique are based on a coordinated set and an uncoordinated set, which is why it is known as “coordination analysis.” The ELECTRE method has two important weaknesses, first, the use of thresholds, which are used to calculate the coordination and noncoordination matrix, and second, this method does not give us a complete and final ranking and is limited to the top options. In order to reduce these weaknesses in this research, interval fuzzy numbers have been used. In the proposed process, the numbers to the left and right of the intervals are considered, and a better method is presented with fuzzy techniques based on the ELECTRE technique. In the research results, using the examples taken from previous researches, the ability of the proposed method is shown.

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A novel hierarchical fuzzy inference system for supplier selection and performance improvement in the oil & gas industry

Cited by 6 publications

References 67 publications

Enhanced Approach for Change of Course of Study Using Fuzzy Logic

Enhanced Approach for Change of Course of Study Using Fuzzy Logic

An empirical investigation of barriers to the adoption of smart technologies integrated urban agriculture systems

A New ELECTRE Method Based on Left and Right Score for Multicriteria Decision-Making

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