Open AccessHFLTS-TOPSIS With Pseudo-distance in Determining The Best Lecturers
Author(s) -
Dahlan Abdullah,
H. Hartono,
Kundharu Saddhono,
Nuning Kurniasih,
Akbar Iskandar,
Dian Rianita,
Purwarno Purwarno,
Rianti Setyawasih,
Erwinsyah Satria,
Tato Nuryanto,
Lilik Herawati,
Sujinah,
I Ketut Sudarsana
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 - 10.1088/1742-6596/1363/1/012073
Subject(s) - topsis , mathematics , range (aeronautics) , preference , distance measures , similarity (geometry) , variable (mathematics) , statistics , selection (genetic algorithm) , degree (music) , computer science , operations research , artificial intelligence , engineering , mathematical analysis , physics , acoustics , image (mathematics) , aerospace engineering
Decision making is sometimes faced with a situation where assessment is given in the form of linguistic variables, which have a certain range of values so that decision making cannot be given in the form of numerical values. One approach commonly used is Hesitant Fuzzy Linguistic Term Sets (HFLTS) which is a multi-criteria and multi-alternative decision making method. In TOPSIS which has the concept of distance measurement, basically the chosen one is the best alternative is an alternative that has the closest distance to a positive solution and the farthest distance with a negative solution. The incorporation of HFLTS-TOPSIS has the advantage that decision making can be done in the form of variable linguistics and also a situation where there are benefit criteria and cost criteria. This study will use the HFLTS-TOPSIS approach that has been modified in the distance calculation section so that distance calculation is based on the difference of preference degree between the two HFLTS. The results of research conducted by a number of researchers show that using pseudo-distance will provide advantages compared to the standard HLFTS-TOPSIS. Pseudo-distance HFLTS-TOPSIS will be applied in the selection of the best lecturers. The criteria used in this study are: Student Satisfaction, Research, Number of late, and number of complaints from students.