FCR Method vs. IR Method: Comparative and intercultural analysis of two human behavior measurements applying extended Fuzzy Logic
Tutor / director / avaluadorTetsushisa, Oda
Tipus de documentProjecte/Treball Final de Carrera
Condicions d'accésAccés restringit per acord de confidencialitat
The advanced knowledge of people’s real opinions is getting more important every day from many points of view and fields of application. The decision-making science, the improvement of market research, Marketing and psychological studies or the artificial intelligence are clear examples of this phenomenon. This is the reason why the development of new theories that help to understand, to model or to predict human behaviours is something that has an impact, interests and what is more, has applications in numerous areas of knowledge. Japan has always been a world motor in this issue by searching the best tools to incorporate the systems that surround the daily life to the human behaviour. Many examples could be found but in this thesis, one of the most significant ones is going to be explained. This is the development and research done around the Fuzzy Logic, which although being theorized in the USA, Japan contributed to its expansion and to the finding of new applications. The next study is based on the data collected from Japanese and Catalan people. In order to gather the information, the “Ambiguity Tolerance Test”, with some generic questions where subjects had to give their opinion was prepared. The concept of Ambiguity Tolerance has been conceived as an individual difference vairable of interest to organizational psychologists by Anderson & Schwartz (1992). This test was done twice to each person using 2 totally different methods of answer: Fuzzy –Set Concurrent Rating Method (FCR), which has gained importance recently and which was developed by Professor Tetsuhisa Oda, and the Improved Rating Method (IR). Both methods are sustained on a behaviour theorizing and data analysis completely different one from each other. The analysis that is going to be presented seeks a double objective. On one hand, it wants to compare the two models (FCR and IR) of data analysis in order to model the human behaviour, check and improve the systems of equivalence between both. On the other hand, it is intended to verify if the comprehension of the 2 methods is the same in such different cultures as the Japanese and Catalan. This last objective is especially significant because it has been the first time that the FCR method has been introduced to a country different from Japan. Thus, the author wanted to check if the model and its analysis is optimal no matter the subject’s profile that is studied. As it has already been said, most of these theories and models are quite unknown in Europe. Consequently, chapter 1 starts detailing the theoretical principles that are needed to understand the thesis, emphasizing the FCR method, as it is the newest part. In the next two chapters the data obtained is presented. Furthermore, there is also, the first analysis of the methods for Japan and Catalonia and the explanation why it has been decided to talk about Catalonia and not Spain. Finally, the author will present a more exhaustive analysis of the data as well as a comparison between cultures and models. Then, the conclusions extracted will be explained. Consequently, this Master Thesis is strongly related to many different fields of Management as all the procedures, models, theories and analysis of the results detailed next are thought to be applied in the Decision-Making area, Marketing, Human Resources and Information systems, to quote the most relevant.
MatèriesFuzzy sets, Fuzzy logic, Human behavior, Conjunts borrosos, Lògica difusa, Conducta (Psicologia)
ProvinençaAquest document conté originàriament altre material i/o programari no inclòs en aquest lloc web
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