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[PDF] Top 20 Fuzzy Inference Systems Composed of Double-Input Rule Modules for Obstacle Avoidance Problems

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Fuzzy Inference Systems Composed of Double-Input Rule Modules for Obstacle Avoidance Problems

Fuzzy Inference Systems Composed of Double-Input Rule Modules for Obstacle Avoidance Problems

... most of the conventional methods, fuzzy inference systems deal with a small number of input ...(Single-Input Rule Modules) model aims to obtain a better ... See full document

9

An Application of Fuzzy Inference System Composed of Double-Input Rule Modules to Control Problems

An Application of Fuzzy Inference System Composed of Double-Input Rule Modules to Control Problems

... construction of fuzzy system with a large number of input variables involves many difficulties such as large time complexity and getting stuck in a shallow and local ...(Single- Input ... See full document

6

Approximation Capabilities of Interpretable Fuzzy Inference Systems

Approximation Capabilities of Interpretable Fuzzy Inference Systems

... UZZY inference systems are widely used in system modeling for the fields of classification, regression, decision support system and control [1], ...modeling of fuzzy inference ... See full document

8

Assessment Of Some Acceleration Schemes In The Solution Of Systems Of Linear Equations.

Assessment Of Some Acceleration Schemes In The Solution Of Systems Of Linear Equations.

... results of the numerical experiments are presented in Tables 1 to ...number of iterations for both the acceleration schemes and Krylov subspace acceleration methods reduced drastically with the exception ... See full document

8

Localization of Indoor Areas Using Wi-Fi Signals, Type-2 Fuzzy Inference Systems and Data Mining

Localization of Indoor Areas Using Wi-Fi Signals, Type-2 Fuzzy Inference Systems and Data Mining

... Type-2 fuzzy inference ...map of a given area based on the RSSI data from several access points (APs) and generates a set of RSSI data for a given zone ...Type-2 fuzzy inference ... See full document

5

FUZZY RULE-BASED SYSTEM FOR AVENUE MANAGEMENT

FUZZY RULE-BASED SYSTEM FOR AVENUE MANAGEMENT

... few of mutual fund schemes satisfies investors’ expectations in the form on expected returns in both premium for systematic and total ...relationship of Indian mutual fund schemes. As per his study, ... See full document

11

AN QUALITY BASED ENHANCEMENT OF USER DATA PROTECTION VIA FUZZY RULE BASED SYSTEMS IN CLOUD ENVIRONMENT

AN QUALITY BASED ENHANCEMENT OF USER DATA PROTECTION VIA FUZZY RULE BASED SYSTEMS IN CLOUD ENVIRONMENT

... range of service access to the web clients in cloud ...set of services and resources are handled by Cloud service provider (CSP) across several data ...amount of resources that are offered by various ... See full document

6

Neuro-fuzzy modeling in bankruptcy prediction

Neuro-fuzzy modeling in bankruptcy prediction

... problem of bankruptcy prediction had been thoroughly studied. From the paper of Altman in 1968 to the recent papers in the '90s, the progress of prediction accuracy was not ...modeling of the ... See full document

10

Fuzzy Rule Base System for Software Classification

Fuzzy Rule Base System for Software Classification

... The input of the system is the OO metrics extracted from java ...degree of the metrics that matches the condition of the fuzzy ...The Inference Engine calculates the rule’s ... See full document

21

Designing Expert System for Detecting Faults in Cloud Environment

Designing Expert System for Detecting Faults in Cloud Environment

... in rule bases system have appeared in the ...the rule base is ...use of spanning trees and Complementary sets to check a dynamic rule base for different kinds of faults underlying ... See full document

8

J. Braz. Soc. Mech. Sci. & Eng.  vol.34 número1

J. Braz. Soc. Mech. Sci. & Eng. vol.34 número1

... number of assumptions, which are not included in the ...reliability of the calculated cutting force values found by these ...ranges of cutting ...cost of the study, as a large number of ... See full document

13

Path planning of mobile robot by mixing experience with modified artificial potential field method

Path planning of mobile robot by mixing experience with modified artificial potential field method

... direction of planning path are on the same straight line, and robot cannot avoid obstacle effectively but vibrates back and forth in a certain ...lot of researchers have proposed some improvements on ... See full document

17

Fuzzy control of induction motor with reduced rule base

Fuzzy control of induction motor with reduced rule base

... Concepts of direct torque control have been explained in [1, ...model of induction motor observer, hysteresis controller and ASIC for optimal ...model of induction motor observer estimates actual ... See full document

13

On Languages Accepted by P/T Systems Composed of joins

On Languages Accepted by P/T Systems Composed of joins

... proof of the following lemma is rather long but not particularly ...which input places are associated to the J expression defining the language accepted by the J P/T system, work places are associated with ... See full document

10

Main obstacles in the business environment affecting firm growth: a comparative analysis between Chinese and Brazilian SMEs

Main obstacles in the business environment affecting firm growth: a comparative analysis between Chinese and Brazilian SMEs

... data of MSMEs from 98 countries and tried to establish a common hierarchy of the most binding ...Out of 15 main obstacles identified in the Enterprise Survey, the most commonly cited as being the ... See full document

130

Evolutionary online behaviour learning and adaptation in real robots

Evolutionary online behaviour learning and adaptation in real robots

... readaptation of controllers was hinted at in the 1990s [7], it was only studied in an ad hoc ...and obstacle avoidance by a single ...potential of online evolution. We therefore set up a ... See full document

15

Solum depth spatial prediction comparing conventional with knowledge-based digital

Solum depth spatial prediction comparing conventional with knowledge-based digital

... most of the year. Also, these soils do not contain B horizon because of the frequent sediments deposited due to floods, which inhibit soil development, limiting the solum depth to the A horizon thickness ... See full document

8

A METEOROLOGICAL TOWER BASED WIND SPEED PREDICTION MODEL USING FUZZY LOGIC

A METEOROLOGICAL TOWER BASED WIND SPEED PREDICTION MODEL USING FUZZY LOGIC

... principles of approximate reasoning and computational ...range of truth values, thus making a deviation from classical sets, logic and strict boolean decisions and assignments (Damousis et ...2004). ... See full document

5

Multi level Programming in Multi Site Production Systems Analysis

Multi level Programming in Multi Site Production Systems Analysis

... borders of the recent decade imposes a new responsibility on the integration ...part of the strategic ...opportunities of deals, decreasing production costs, collecting capital, ...managerial ... See full document

17

FUZZY MODELING ON WHEAT PRODUCTIVITY UNDER DIFFERENT DOSES OF SLUDGE AND SEWAGE EFFLUENT

FUZZY MODELING ON WHEAT PRODUCTIVITY UNDER DIFFERENT DOSES OF SLUDGE AND SEWAGE EFFLUENT

... weight of a hundred grain showed no significant correlation (p < ...weight of grain per spike showed significant relationships, wherein the longest length of spike may have helped in the ... See full document

13

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