Open AccessThe Implementation of Fuzzy Multiple Attribute Decision Making by Using Weighted Product Algorithm in Evaluating Employees’ Performance
Author(s) -
Herlina Latipa Sari,
Toibah Umi Kalsum,
Desi Mahdalena
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1255/1/012093
Subject(s) - fuzzy logic , normalization (sociology) , valuation (finance) , computer science , data mining , rank (graph theory) , analytic hierarchy process , product (mathematics) , artificial intelligence , algorithm , mathematics , operations research , finance , business , combinatorics , sociology , anthropology , geometry
Fuzzy Logic used as an act to describe problem from input into expected output. One part of Fuzzy logic is Fuzzy multiple attribute decision making in deciding weighted alternative Score and importance criteria rating meanwhile Weighted product method is to evaluate so in deciding employee performance by multiplying to correlate with attribute rating, rating for each attribute must be powered by number with related weighted attribute and that process is same with normalization process. The result of implementation of Multiple Attribute Decision Making (FMADM) by using Weighted Product (WP) Algorithm in valuating employee performance which conducted once a year which obtained from performance valuation of system valuation at CV. Mulya Karya Baru. By conducting sample from data which obtained from data. This research can create and develop an application which can help user to rank the employee performance.