Using fuzzy number for measuring quality of service in the hotel industry

By Juan Manuel Campos Benítez, Juan Carlos Martín, C. Román. 2007

397 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Organizational Behavior and Human Resource Management, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/2457ca3ea3f73f2bf6b36facc64349fc3685978e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. Enrique Herrera-Viedma
2. Francisco Herrera
3. Luis Martínez-López
4. Zeshui Xu
5. Francisco Chiclana
6. F. Cabrerizo
7. Yucheng Dong
8. Sergio Alonso

In Organizational Behavior and Human Resource Management

1. Enrique Herrera-Viedma
2. Irfan Ertugrul

In Statistics and Probability

1. Enrique Herrera-Viedma
2. Luis Martínez-López
3. Francisco Herrera
4. Irfan Ertugrul
5. José M. Merigó

Citations in the corpus

• A Fuzzy Linguistic Methodology to Deal With Unbalanced Linguistic Term Sets (2008, background): “The fuzzy linguistic approach [54]–[56] deals with qualitative aspects that are represented in qualitative terms by means of linguistic variables, providing an important tool for solving problems in different areas such as information retrieval [7], [8], [26]–[28], [35], [36], [57], services evaluat”
• Fuzzy Group Decision Making for the Selection of Facility Location (2011, methodology): “Benitez et al. (2007) presented a fuzzy TOPSIS method for measuring quality of service in the hotel industry.”