A Fuzzy Set Model for Self-Proximity Analysis of Mutual-Ratings among Coworkers

Abstract

In this paper, a fuzzy set model for self-proximity analysis of rating is proposed, in order to quantitatively analyze mental distances between raters and ratees in self-rating(self review) and mutual-ratings among coworkers(peer review). The proposal model aims to simply describe the relation between self-rating and mutual-ratings to very familiar coworkers or not so familiar ones. The feature of the model is that the mental positioning to the coworkers is quantified by the membership value (the self-approachability) of “fuzzy set”. It becomes possible to quantify raters’ mental distances to ratees in mutual-ratings among coworkers by the above fuzzy set model.

Then, the self-approachability of the mutual-ratings among the coworkers is analyzed as an application example of the proposal model, using the result of “the analysis model of mutual-rating among the coworkers and self-rating” in the past study (Yamashita, 2005). Through the analysis of the proposal model, this paper implicates that the mental positioning of the ratings to the very familiar coworkers in the mutual-ratings is brought close to the positioning of the self-ratings.