Consensus in innovation contest categorisation by means of fuzzy partitions

Comparing Partitions by Means of Fuzzy Data Mining Tools

Rand index is one of the most popular measures for comparing two partitions over a set of objects. Several approaches have extended this measure for those cases involving fuzzy partitions. In previous works, we developed a methodology for correspondence analysis between partitions in terms of data mining tools. In this paper we discuss how, without any additional cost, it can be applied as an a...

Differential transformation method for solving fuzzy differential inclusions by fuzzy partitions

‏‎suppression of coke formation in thermal cracking by coke inhibitors‎‏

‏‎the main purpose of this research was to:1.develop a coking model for thermal cracking of naphtha.2.study coke inhibition methods using different coke inhibitors.developing a coking model in naphtha cracking reactors requires a suitable model of the thermal cracking reactor based on a reliable kinetic model.to obtain reliable results all these models shall be solved simultaneously.for this pu...

OPTIMIZATION OF FUZZY CLUSTERING CRITERIA BY A HYBRID PSO AND FUZZY C-MEANS CLUSTERING ALGORITHM

This paper presents an efficient hybrid method, namely fuzzy particleswarm optimization (FPSO) and fuzzy c-means (FCM) algorithms, to solve the fuzzyclustering problem, especially for large sizes. When the problem becomes large, theFCM algorithm may result in uneven distribution of data, making it difficult to findan optimal solution in reasonable amount of time. The PSO algorithm does find ago...

Evaluation of Fuzzy Partitions

The aim of this study is the development of tools dedistage, although commonly overlooked (Hammond and Verbyla, 1996). Evaluating a partition generally consists cated to fuzzy partition evaluation in the field of satellite image classification. While a traditional crisp partition of comparing it with a control partition and measuring only provides qualitative information, a fuzzy partition rept...