Ranking by competence using a fuzzy approach

Abstract

Heterogeneity, Competence, Fuzzy partition, Convex sets,

Understanding firms compensation policy using fuzzy sets

“…A common procedure to study the potential factors behind a compensation policy would be to defuzzify the membership degrees, and subsequently analyze the pattern of external variables in each crisp typology. However, the distribution of firms on the path A 1 − A 2 − A 3 allows us to reasonably use the theorem below, which is established in [19]. It allows a mapping between multivariate data and a real interval, via fuzzy c-partition.…”

The Study of Taiwan's New Immigrant Children's Mathematics Achievement

“…These research results introduce several methods, and propose a new model for comparing students' interval fussy scores. With sorting after defuzzification, the issue of poor discrimination is resolved (Dubois, Fargier & Fortin, 2005;Harloff, 2011;Lee & Lee-Kwang, 2001;Lin, Yi & Wu, 2006;Liu, Wu & Liu, 2008;Nguyen & Wu, 2006;Suleman & Suleman, 2012;Wu & Lin, 2002).…”

Fuzzy logic in competence management

“…As stated previously, when specifying the requirements of a trade in a realistic context, the set of required degrees of mastering competences should be According to the fuzzy logic theory [16] set is characterized by a membership function (let say µ Re ), which allows to calculate the degree an element belongs to the set.…”

“…[16], such kind of set is characterized by a membership function (let say to calculate the degree d with which may in practice be imprecise the bundle of acquired levels may be ill-known in the grade of membership , and should be better 1]. The set of the n be characterized by a possibility distribution π Ac .…”

“…for predicting performance. In [6], the authors have introduced a fuzzy approach in order to identify the factors of performance, while the predictive model proposed in [16], based on clustering techniques, uses a similarity measure to compare each individual set of competences to a given profile of work situation, in order to predict the ability of the concerned worker to occupy the associated position. Within the same predictive allocation perspective, various models for describing fuzzy compatibility of skills for team selection [2] [11], or for personnel placement [10] [13] have been also proposed in the literature.…”