Application of logarithmic fuzzy preference programming for determining priority as an institutional development strategy

Autor: Emi Iryanti, Ridwan Pandiya
Rok vydání: 2017
Předmět:
Zdroj: 2017 4th International Conference on Computer Applications and Information Processing Technology (CAIPT).
Popis: This paper analyzes the process in measuring the level of satisfaction of students of ST3 Telkom. All aspects previously applied are calculated based on the same weighting. Since some aspects are not too important for students, institution should recalculated the weights for each aspect. Based on the fact, this paper implements one of the multi criteria decision making problems method called Logarithmic Fuzzy Preference Programming (LFPP). This method allows respondents to compare the level of importance of each aspects which is then formed into a pairwise comparison matrix. After obtaining pairwise comparison matrix, the weights will be obtained by optimizing by the formula contained in LFPP. The obtained weights will be used by the institution as a basis especially in the determination of the aspects that should be given more attention. At the future, for the recommendation in this research that the formula used to calculate student satisfaction is average of criteria multiplied by weighting.
Databáze: OpenAIRE