Expert System for Competences Evaluation 360° Feedback Using Fuzzy Logic

被引:3
|
作者
Aguilar Lasserre, Alberto Alfonso [1 ]
Lafarja Solabac, Marina Violeta [1 ]
Hernandez-Torres, Roberto [1 ]
Posada-Gomez, Ruben [1 ]
Juarez-Martinez, Ulises [1 ]
Fernandez Lambert, Gregorio [2 ]
机构
[1] Inst Tecnol Orizaba, Div Res & Postgrad Studies, Orizaba 94300, VER, Mexico
[2] Inst Tecnol Super Misantla, Div Res & Postgrad Studies, Misantla 93821, VER, Mexico
关键词
RELIABILITY;
D O I
10.1155/2014/789234
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Performance evaluation (PE) is a process that estimates the employee overall performance during a given period, and it is a common function carried out inside modern companies. PE is important because it is an instrument that encourages employees, organizational areas, and the whole company to have an appropriate behavior and continuous improvement. In addition, PE is useful in decision making about personnel allocation, productivity bonuses, incentives, promotions, disciplinary measures, and dismissals. There are many performance evaluation methods; however, none is universal and common to all companies. This paper proposes an expert performance evaluation system based on a fuzzy logic model, with competences 360 degrees feedback oriented to human behavior. This model uses linguistic labels and adjustable numerical values to represent ambiguous concepts, such as imprecision and subjectivity. The model was validated in the administrative department of a real Mexican manufacturing company, where final results and conclusions show the fuzzy logic method advantages in comparison with traditional 360 degrees performance evaluation methodologies.
引用
收藏
页数:18
相关论文
共 50 条
  • [31] Network forensics based on fuzzy logic and expert system
    Liao, Niandong
    Tian, Shengfeng
    Wang, Tinghua
    COMPUTER COMMUNICATIONS, 2009, 32 (17) : 1881 - 1892
  • [32] A fuzzy logic based expert system as a network forensics
    Kim, JS
    Kim, DG
    Noh, BN
    2004 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, PROCEEDINGS, 2004, : 879 - 884
  • [33] Unavailability evaluation of system by using Bayesian network and fuzzy logic
    Snene, W.
    Mechri, W.
    Kesraoui, H.
    Ben Othman, K.
    2015 16TH INTERNATIONAL CONFERENCE ON SCIENCES AND TECHNIQUES OF AUTOMATIC CONTROL AND COMPUTER ENGINEERING (STA), 2015, : 307 - 311
  • [34] An alternative approach to firms' evaluation: Expert systems and fuzzy logic
    Magni, CA
    Malagoli, S
    Mastroleo, G
    INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2006, 5 (01) : 195 - 225
  • [35] Using fuzzy logic expert system for the estimation of the ARS-880 radar range
    Malczewski, Przemyslaw
    Grzesik, Norbert
    Kuzma, Konrad
    JOURNAL OF MARINE ENGINEERING AND TECHNOLOGY, 2017, 16 (04): : 221 - 226
  • [36] Online approach for Diabetes Diagnosis and Classification with Expert System Modules using Fuzzy Logic
    Mujawar, I. K.
    Jadhav, B. T.
    Waghmare, V. B.
    Patil, R. Y.
    2019 IEEE PUNE SECTION INTERNATIONAL CONFERENCE (PUNECON), 2019,
  • [37] A fuzzy logic expert system to predict module fault proneness using unlabeled data
    Abaei, Golnoush
    Selamat, Ali
    Al Dallal, Jehad
    JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2020, 32 (06) : 684 - 699
  • [38] Investigation of thermal performance of SAC variables using fuzzy logic based expert system
    Suman Debnath
    Jagannath Reddy
    Biplab Jagadish
    Journal of Mechanical Science and Technology, 2019, 33 : 4013 - 4021
  • [39] Automated serviceability prediction of NSM strengthened structure using a fuzzy logic expert system
    Darain, Kh Mahfuz Ud
    Jumaat, Mohd Zamin
    Hossain, Md. Altab
    Hosen, Md. Akter
    Obaydullah, M.
    Huda, Md. Nazmul
    Hossain, I.
    EXPERT SYSTEMS WITH APPLICATIONS, 2015, 42 (01) : 376 - 389
  • [40] Investigation of thermal performance of SAC variables using fuzzy logic based expert system
    Debnath, Suman
    Reddy, Jagannath
    Jagadish
    Das, Biplab
    JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2019, 33 (08) : 4013 - 4021