This study proposes a novel approach, the Fuzzy Rasch model, which combines Item
Response Theory (IRT) and fuzzy set theory. This paper applies the Fuzzy Rasch model in …

In the past decade, global competition are forcing firms to increase their level of outsourcing
for raw or semi-finished products and building long term relationship with their supply chain …

Modeling fuzziness and imprecision in human rating data is a crucial problem in many
research areas, including applied statistics, behavioral, social, and health sciences …

The correlation between the performance of attributes and the overall satisfaction perceived
by the customers is a successful indirect approach to evaluate the importance of the …

The Rasch model can be used to transform ordinal data into interval data. Rasch has
seldom been incorporated in data envelopment analysis (DEA) models. Therefore, this study …

Travel time estimation & reliability evaluation of any means of transportation in every type of
travel mode-land, rail, sea and air has been of immense interest of the researchers; primarily …

Mobile information and communication technologies (ICTs), with advanced capabilities,
have created new prospects and opportunities, for both students and faculty who are …

A successful indirect method to calculate the importance of the attributes in services is that of
correlation between the performance of attributes and the overall satisfaction such as they …

Modeling human ratings data subject to raters' decision uncertainty is an attractive problem
in applied statistics. In view of the complex interplay between emotion and decision making …

The correlation between the performance of attributes and the overallsatisfaction such as
they are perceived by the customers is often used tocalculate the importance of attributes in …