A Model for control on teams
Maya Lambovska ()
Economic Thought journal, 2018, issue 2, 3-19
This paper presents an original model for control on teams based on the classical and contemporary achievements of a number of management and mathematical theories. The model combines fuzzy techniques and tools from the theory of confidence intervals, the theory of fuzzy subsets and the theory of fuzzy logic. They are used for evaluation, quantification of qualitative evaluations/ forecasts, decision making, exploration of mutual and hidden effects. The specificity of the model finds expression primarily in the way by which team performance is understood and evaluated. The evaluation procedure is carried out through the application of fuzzy logic by transforming the team evaluations on input variables into resultant quantitative/qualitative evaluations of team performance and the need to react to the team. This paper is divided into three parts. The methodological basis of the author’s concept of control on teams is clarified in the first part of the paper. A general presentation of the model for control on teams is done in the second part of the paper. The stages and procedures of the model are presented in the third part of the paper.
JEL-codes: M00 M19 (search for similar items in EconPapers)
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
https://etj.iki.bas.bg/storage/app/uploads/public/ ... 26cfe08458934341.pdf
Fee access (Bulgarian)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:bas:econth:y:2018:i:2:p:3-19
Access Statistics for this article
More articles in Economic Thought journal from Bulgarian Academy of Sciences - Economic Research Institute Contact information at EDIRC.
Bibliographic data for series maintained by Diana Dimitrova ().