This study is aimed at measuring and summarizing the perceived and expected service quality of passengers of an international airline and to provide the passengers' opinions to the decision makers employing fuzzy logic. The appropriate fuzzification procedure was determined to be the trapezoidal...

Modelling an attack tree is basically a matter of associating a logical "and" and a logical "or" but in most of real world applications related to fraud management the "and/or"logic is not adequate to effectively represent the relationship between a parent node and its children, most of all when...

Many criteria should be considered for project selection in Information and Communication Technology (ICT) sectors; while, the resources are limited. Besides, the uncertainty of the selection and evaluation process increases the difficulty of ICT project selection. Therefore, a fuzzy system in...

The present study analyzes the extra insights that option pricing models may achieve when uncertainty about parameters is modeled through fuzzy numbers. Specifically, the authors consider the Heston stochastic volatility model, which assumes that stock price changes and their instantaneous...

Possibilistic indicators of fuzzy numbers (expected value, variance, and covariance) are an efficient instrument in the modeling of uncertainty phenomena. Various models of uncertainty phenomena have led to several notions of variance and covariance. In particular, the possibilistic models of...

Stochastic volatility models for option pricing are suitable to explain many empirical stylized facts in financial markets. Among the other models, Heston provides a good analytical tractability because a quasi closed formula for the price of a European call option can be derived. The estimation...

This study is aimed at measuring and summarizing the perceived and expected service quality of passengers of an international airline and to provide the passengers' opinions to the decision makers employing fuzzy logic. The appropriate fuzzification procedure was determined to be the trapezoidal...

Fuzzy set theory is circumscribed to the need to broaden the scope of classical mathematics meaning poten-tiation possibilities of mathematical modeling of real world systems. One can appreciate that the nature of reality and our way of thinking and the symbolism of interpersonal communication...

We consider the family of multi-argument functions called multidistances, which capture the idea of distance for collections of more than two points in a metric space. Usually multidistances are defined among crisp objects. In this note we propose a multidistance defined among fuzzy numbers...

The need for successful knowledge sharing is critical for knowledge management (KM). The objective of this study is to identify and measure the perceived importance of knowledge sharing barriers (KSBs) in organisation. These KSBs have been categorised into the six different levels namely...