|
|
|
|
|
Fred Petry and Ronald Yager
Data mining refers to a variety of techniques in the fields of databases, machine learning and pattern recognition. The intent is to obtain useful patterns and associations from a large collection of data. In this paper we describe extensions to the attr...
ver más
|
|
|
|
|
|
|
|
|
|
|
Peide Liu, Muhammad Munir, Tahir Mahmood and Kifayat Ullah
Similarity measures, distance measures and entropy measures are some common tools considered to be applied to some interesting real-life phenomena including pattern recognition, decision making, medical diagnosis and clustering. Further, interval-valued ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lelin Lv, Huimin Li, Lunyan Wang, Qing Xia and Li Ji
Failure Mode and Effect Analysis (FMEA) is a useful risk assessment tool used to identify, evaluate, and eliminate potential failure modes in numerous fields to improve security and reliability. Risk evaluation is a crucial step in FMEA and the Risk Prio...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhikang Lu and Jun Ye
Fault diagnosis is an important task for the normal operation and maintenance of equipment. In many real situations, the diagnosis data cannot provide deterministic values and are usually imprecise or uncertain. Thus, interval-valued fuzzy sets (IVFSs) a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Haiping Ren and Guofu Wang
Similarity measure is one of the most important measures of interval-valued intuitionistic fuzzy (IVIF) sets. This article will put forward a new similarity measure, which considers the impacts of membership degree, nonmembership degree and median point ...
ver más
|
|
|
|
|
|