A Fuzzy Support Vector Machine Based on New Membership Function [PDF]
Membership functions of traditional Fuzzy Support Vector Machine(FSVM) are mostly designed based on the distance between the samples and the class centers,which decrease the effect of support vectors.This paper combines two membership functions and ...
LIU Kaimin,WU Xiaojun
doaj +1 more source
The existence of neutral /indeterminacy degrees reflects the more practical aspects of decision-making scenarios. Thus, this paper has studied the intuitionistic fuzzy multiobjective linear programming problems (IFMOLPPs) under neutrosophic uncertainty ...
Abdullah Ali H. Ahmadini, Firoz Ahmad
doaj +1 more source
Influence of the type of membership functions of fuzzy variables on transient processes in an electric drive [PDF]
The paper deals with the influence of the type of membership functions of fuzzy variables on transient processes in an electric drive. The membership functions of fuzzy variables of S-shaped type and triangular type are proposed for consideration.
Azimov R.A. +4 more
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Cluster-Based Membership Function Acquisition Approaches for Mining Fuzzy Temporal Association Rules
In real-world applications, transactions are typically represented by quantitative data. Thus, fuzzy association rule mining algorithms have been proposed to handle these quantitative transactions.
Chun-Hao Chen +3 more
doaj +1 more source
Genetic Algorithm-based Optimized Fuzzy Adaptive Path Selection in Wireless Sensor Networks
In Wireless sensor networks, energy efficiency can be achieved by adaptive choice of the data forwarding path to balance the energy dissipation in the network.
Muhammad Akram +2 more
doaj +5 more sources
Learning Boolean Halfspaces with Small Weights from Membership Queries [PDF]
We consider the problem of proper learning a Boolean Halfspace with integer weights $\{0,1,\ldots,t\}$ from membership queries only. The best known algorithm for this problem is an adaptive algorithm that asks $n^{O(t^5)}$ membership queries where the ...
Abasi, Hasan +2 more
core +1 more source
Fuzzy GMDH and its application to forecasting financial processes
This paper is devoted to the investigation and application of the fuzzy inductive modeling method known as Group Method of Data Handling (GMDH) in problems of Data Mining, in particularly its application to solving the forecasting tasks in financial ...
Yuriy Zaychenko, Helen Zaychenko
doaj +1 more source
Semantic Information G Theory and Logical Bayesian Inference for Machine Learning [PDF]
An important problem with machine learning is that when label number n\u3e2, it is very difficult to construct and optimize a group of learning functions, and we wish that optimized learning functions are still useful when prior distribution P(x) (where ...
Lu, Chenguang
core +1 more source
Hypertrapezoidal fuzzy membership functions [PDF]
The authors present a method for representing N-dimensional fuzzy membership functions. The proposed method is a generalization of the one-dimensional trapezoidal membership function commonly used in fuzzy systems. The issue of correlation between input variables and a decrease in the rule base size is the motivation for extending the definition of ...
Painter, John H., Kelly, W. E. III
openaire +2 more sources
Multiconditional Approximate Reasoning with Continuous Piecewise Linear Membership Functions [PDF]
It is shown that, for some intersection and implication functions, an exact and efficient algorithm exists for the computation of inference results in multiconditional approximate reasoning on domains which are finite intervals of the real numbers, when ...
Broek, P.M. van den
core +8 more sources

