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DOI: 10.14569/IJACSA.2015.060923
PDF

A Multi-Attribute Decision Making for Electrician Selection using Triangular Fuzzy Numbers Arithmetic Approach

Author 1: Wiwien Hadikurniawati
Author 2: Retantyo Wardoyo

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 6 Issue 9, 2015.

  • Abstract and Keywords
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Abstract: This study uses an approach of fuzzy multi attribute decision making in determining alternatives to solve the selection problem of the electrician through a competency test. Competency test consists of several tests of knowledge, skills and work attitude. The parameters of decision making is used to choose the best alternative written test, test of theoretical knowledge, practice knowledge test and oral test. Linguistic values expressed by triangular fuzzy numbers is used to represent the preferences of decision makers so that the uncertainty and imprecision in the selection process can be minimized. Aggregation results are represented using triangular fuzzy numbers. The output of this selection process is the best alternative obtained using triangular fuzzy numbers arithmetic approach.

Keywords: multi-attribute decision making; triangular fuzzy number; fuzzy arithmetic; electrician

Wiwien Hadikurniawati and Retantyo Wardoyo, “A Multi-Attribute Decision Making for Electrician Selection using Triangular Fuzzy Numbers Arithmetic Approach” International Journal of Advanced Computer Science and Applications(IJACSA), 6(9), 2015. http://dx.doi.org/10.14569/IJACSA.2015.060923

@article{Hadikurniawati2015,
title = {A Multi-Attribute Decision Making for Electrician Selection using Triangular Fuzzy Numbers Arithmetic Approach},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.060923},
url = {http://dx.doi.org/10.14569/IJACSA.2015.060923},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {9},
author = {Wiwien Hadikurniawati and Retantyo Wardoyo}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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