Fuzzy methods of stakeholder prioritisation in the context of stakeholder management

Mints, Aleksey; Kamyshnykova, Evelina

doi:10.1504/ijlc.2021.116673

Cited by 1 publication

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“…(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). Existing system considered entry requirements and CGPA for a change of programme, but our system consider the entry requirement, CGPA and the strength of student in selected courses, in the first session to recommend a new programme within the selected courses or otherwise.…”

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 Thus, the need to change their programme of study becomes a necessity or risk being withdrawn from the university.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 Thus, most of these students still perform poorly in the new programme of study and may end up being withdrawn.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%