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The pattern recognition problem are mostly dealt through the process of clustering. Many important techniques used for clustering are based on similarity measures. The similarity measures are derived from distance measures. Therefore, for measuring the similarity between objects (Atanassov intuitionistic fuzzy set(AIFS)) researchers have applied several distance measures like normalized Euclidean...
Supplier selection is a process in which one supplier is selected out of given suppliers on the basis of certain features such as reliability, maintainence, delivery performance, quality etc. Nowadays, supplier selection problem is a big issue because selection of the best supplier is a multi-criteria decision making (MCDM) problem under many combating criteria. The knowledge of the decision makers...
Transfer learning framework is designed to use previously acquired knowledge to solve a new but somewhat related task (like humans do). Non-availability of sufficient and relevant information in building a learning model is a major bottleneck in this research area. However, such models are highly susceptible to negative transfer learning (NTL) during transferral of knowledge due to the hesitancy in...
In Intuitionistic fuzzy sets(IFSs), experts assign both membership value and non-membership value to each fuzzy element x with a certain degree of hesitation. The hesitancy in the opinion of the experts appear due to incomplete information available regarding x. Therefore, precise estimation of its both membership value and non-membership value becomes highly difficult. Hence, there is a high chance...
This paper aims to investigate a gait pattern classification system for anterior cruciate ligament reconstructed (ACL-R) subjects based on the interval type-2 fuzzy logic (FL). The proposed system intends to model the uncertainties present in kinematics and electromyography (EMG) data used for gait analysis due to intra- and inter-subject stride-to-stride variability and nature of signals. Four features...
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