Group decision-making procedure based on incomplete reciprocal relations
Xu (Int J Approx Reason 36:261---270, 2004) introduced the concepts of incomplete reciprocal relation and additive consistent incomplete reciprocal relation. The aim of this paper is to develop a novel procedure for group decision making with incomplete ...
A novel fuzzy classifier with Choquet integral-based grey relational analysis for pattern classification problems
This paper aims to propose a fuzzy classifier, which is a one-class-in-one-network structure consisting of multiple novel single-layer perceptrons. Since the output value of each single-layer perceptron can be interpreted as the overall grade of the ...
Semi-divisible triangular norms
Semi-divisibility of left-continuous triangular norms is a weakening of the divisibility (i.e., continuity) axiom for t-norms. In this contribution we focus on the class of semi-divisible t-norms and show the following properties: Each semi-divisible t-...
Building ensemble classifiers using belief functions and OWA operators
A pervasive task in many forms of human activity is classification. Recent interest in the classification process has focused on ensemble classifier systems. These types of systems are based on a paradigm of combining the outputs of a number of ...
Effect algebras with the subsequential interpolation property
We prove Brooks---Jewett, Vitali---Hahn---Saks and NikodymBoundedness theorems for modular measures on lattice-ordered effect algebras with the subsequential interpolation property.
An efficient quantum neuro-fuzzy classifier based on fuzzy entropy and compensatory operation
In this paper, a quantum neuro-fuzzy classifier (QNFC) for classification applications is proposed. The proposed QNFC model is a five-layer structure, which combines the compensatory-based fuzzy reasoning method with the traditional Takagi---Sugeno---...
Topology on the set of R0 semantics for R0 algebras
This paper introduces the concepts of R 0 valuation, R 0 semantic, countable R 0 category $$\mathcal{C}R_0$$ , R 0 fuzzy topological category $$\mathcal{R}CG$$ , etc. It is established in a natural way that the fuzzy topology and its cut topology on the set Ω M consisting of all ...
An enhanced possibilistic C-Means clustering algorithm EPCM
The possibility based clustering algorithm PCM was first proposed by Krishnapuram and Keller to overcome the noise sensitivity of algorithm FCM (Fuzzy C-Means). However, PCM still suffers from the following weaknesses: (1) the clustering results are ...
