This paper presents a semi-supervised kernel-based fuzzy c-means algorithm called S2KFCM by introducing semi-supervised learning technique and the kernel method simultaneously into conventional fuzzy clustering algorithm. Through using labeled and unlabeled data together, S2KFCM can be applied to both clustering and classification tasks. However, only the latter is concerned in this paper. Expe...

We present some similarity and distance measures between intuitionistic fuzzy sets (IFSs). Thus, we propose two semi-metric distance measures between IFSs. The measures are applied to classification of shapes and handwritten Arabic sentences described with intuitionistic fuzzy information. The experimental results permitted to do a comparative analysis between intuitionistic fuzzy similarity an...

The purpose of this paper is to give the new definitions semi-regular T1 and T2 separation axioms in intuitionistic fuzzy topological spaces. Study basic properties, characterizations relationships these concepts

This paper presents availability computation procedure of a semi-Markovian mechatronic system under the uncertainties that involve randomness as well as fuzziness. Conversion of semi-Markov to Markov model is stated first and hybrid approach is then used for fuzzy availability computation. Sometimes statistical data is available about failure and repair rates, but in cases where such data is sc...

uml is known as one of the most common methods in software engineering.since this language is semi-formal, many researches and efforts have beenperformed to transform this language into formal methods including petri nets.thus, the operation of verification and validation of the qualitative and nonfunctionalparameters could be achieved with more ability. since the majority of thereal world info...

Lattice-valued up-sets and down-sets of a poset are investigated under the cutworthy approach. It is proved that the collections of all lattice valued up-sets and down-sets of a given poset are complete lattices under fuzzy inclusion. Properties of these are investigated. For a given collection of crisp up-sets of a poset, necessary and sufficient conditions are given under which the family rep...

In this research, a semi-automated building damage detection system is addressed under the umbrella of high-spatial resolution remotely sensed images. The aim of this study was to develop a semi-automated fuzzy decision making system using Genetic Algorithm (GA). Our proposed system contains four main stages. In the first stage, post-event optical images were pre-processed. In the second stage,...

For the problem of change detection it is difficult to have sufficient amount of ground truth information that is needed in supervised learning. On the contrary it is easy to identify a few labeled patterns by the experts. In this situation to avoid wastage of available information semi-supervision is suggestible to enhance the performance of unsupervised ones. Here we present the fuzzy cluster...