Fuzzy sets were introduced by Zadeh in 1965 to represent manipulate data and information possessing non-statistical uncertainties. It was specifically designed to mathematically represent uncertainty and vagueness and to provide formalized tools for dealing with the imprecision intrinsic to many problems. However, the story of fuzzy logic started much earlier. Fuzzy system is an alternative to traditional notions of set membership and logic that has its origins in ancient Greek philosophy. Research paradigms are rooted in philosophy paradigm, determine the direction of researches; how the researches reach to the reality, how they answer the questions of the seeking mind … four main research paradigms distinguished so far are: Positivism, Constructivism, Critical theory and Post structuralism. These paradigms create not only the mind set of the researcher (what the reality is and how it can be accessed), but also help him/her use the research methodologies, research methods, and apply the research findings. Here in this research we are to investigate how the different research paradigms can help fuzzy to grow and in the other hand how fuzzy can be used in a research paradigms. After reviewing the background of fuzzy and its definition, we provide a useful background about the research paradigms, then in conclusion we will show how research paradigms and fuzzy are related mutually.
Salmani, Devood and Akbari, Mohsen
"Fuzzy and research paradigms relationship: a mutual contribution,"
Academic Leadership: The Online Journal: Vol. 6
, Article 7.
Available at: https://scholars.fhsu.edu/alj/vol6/iss2/7