Fuzzy tolerance/equivalence relations from intersection, union and complement operators and their application to a clustering method
Lamichhane, Aneer (2015)
Diplomityö
Lamichhane, Aneer
2015
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe201501211234
https://urn.fi/URN:NBN:fi-fe201501211234
Tiivistelmä
This master thesis work introduces the fuzzy tolerance/equivalence relation and its application in cluster analysis. The work presents about the construction of fuzzy equivalence relations using increasing generators. Here, we investigate and research on the role of increasing generators for the creation of intersection, union and complement operators. The objective is to develop different varieties of fuzzy tolerance/equivalence relations using different varieties of increasing generators. At last, we perform a comparative study with these developed varieties of fuzzy tolerance/equivalence relations in their application to a clustering method.