Olimpia Ban

Optimization and extensions of a fuzzy multicriteria decision making method and applications to selection of touristic destinations

The aim of the present paper is to optimize and extend the recent method in Chu and Lin (2009). We simplify the calculus taking into account the expected value of a fuzzy number can be expressed by using its @a-cut sets. A collateral benefit is that the discussed method becomes applicable in any structure of data as triangular fuzzy numbers. Then, to cover a wider range of data - performances of alternatives versus criteria and importance weights of criteria - we extend the optimized method to trapezoidal fuzzy numbers and to the cases of importance weights of criteria/ratings of alternatives expressed by real numbers and ratings of alternatives/importance weights of criteria expressed by fuzzy numbers. Each theoretical development is illustrated by examples. The importance of the method to the selection of the best touristic destinations is discussed too.

Synthetic Measure of the Quality of Service Taking into Account the Client’s Perspective in the Hotel Industry

We suggest a simple method to aggregate tourist opinions, measured on a scale from 1 to 10, relatively to 14 criteriaconsidered to be the most important. We are taking into consideration the tourists’ opinion regarding the importanceof criteria and the synthetic result obtained lead to a hierarchy of the hotels where the research has been made, fromthe point of view of the quality of services provided. The results obtained can make the managers aware about thesituation oft the unit they manage and they can signal to them the characteristics which must be improved in order toobtain a better position in the guests’ opinion.