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[PDF] Top 20 The Proposed Fuzzy IAMR Approach

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The Proposed Fuzzy IAMR Approach

The Proposed Fuzzy IAMR Approach

... navigation approach of Autonomous Mobile ...the Fuzzy Logic FL has an advantage of adaptivity such that this approach works per- fectly even if an environment is ...implementation Fuzzy Logic ... See full document

9

Fuzzy logic model for dynamic multiprocessor scheduling

Fuzzy logic model for dynamic multiprocessor scheduling

... [2] proposed a queueing model where an arriving job is routed by a job dispatcher to one of the ...The approach is efficient enough to reduce the overhead in trying to redistribute the load based on the ... See full document

15

RANKING OF HEPTAGONAL FUZZY NUMBERS USING INCENTRE OF CENTROIDS

RANKING OF HEPTAGONAL FUZZY NUMBERS USING INCENTRE OF CENTROIDS

... of fuzzy set theory deals with imprecision, vagueness in real life ...firstly proposed by Zadeh ...the fuzzy environment. Later on, fuzzy methodologies have been successfully applied in a wide ... See full document

8

Ranking DMUs by New Metric DTM with Fuzzy Data in DEA

Ranking DMUs by New Metric DTM with Fuzzy Data in DEA

... [9]).The fuzzy system approach has many features, which are particulary suitable for the theory and practice of DEA ...Some fuzzy versions of DEA models are proposed in Sengupta [3], Cooper et ... See full document

6

Shape & Texture Based Image Retrieval from Fuzzy Clustered Data

Shape & Texture Based Image Retrieval from Fuzzy Clustered Data

... To retrieve a group of images from the available database, we perform a matching process among the query image features and the database image feature. To perform the matching we implement the Euclidean distance method ... See full document

5

Information Confidentiality Using Fuzzy Based Data Transformation Method

Information Confidentiality Using Fuzzy Based Data Transformation Method

... and proposed a novel spatial transformation method called rotation based transformation to achieve ...transformation approach for privacy preserving clustering is presented in [6], by adopting geometric ... See full document

5

Updating   Fuzzy Models for Seismic Risk Assessment

Updating Fuzzy Models for Seismic Risk Assessment

... An approach of type (iv) could be said to be purely fuzzy. Such a double fuzzy model for the seismic damage prediction is proposed in [14]. The approximation of pdf f by a[r] ... See full document

8

Effective Assessment of Software Reliability by Using Neuron-Fuzzy System

Effective Assessment of Software Reliability by Using Neuron-Fuzzy System

... the fuzzy logic and neural networks models were very ...developed fuzzy model and neural networks for assessing the software ...our proposed model, we can say that we proposed improved Neuro ... See full document

23

On hybrid intelligence-based control approach with its application to flexible robot system

On hybrid intelligence-based control approach with its application to flexible robot system

... The approach proposed here is in fact organized in line with the integration of the fuzzy-based approach in association with the neural networks, in order to enable the process under control ... See full document

18

Supplier BIM competence assessments within the cloud: A proposed fuzzy TOPSIS approach

Supplier BIM competence assessments within the cloud: A proposed fuzzy TOPSIS approach

... Recently there has been greater emphasis on the use of multi-criteria decision support methodologies for the selection of contractors, sub-contractors and consultants. Several computational techniques have been relied on ... See full document

12

Performance Improvement for BLDC Motor by using Adaptive Neuro-Fuzzy Inference Systems (ANFIS)

Performance Improvement for BLDC Motor by using Adaptive Neuro-Fuzzy Inference Systems (ANFIS)

... and Fuzzy. ANFIS it integrates both neural networks and fuzzy logic principles, it has potential to capture the benefits of both in a single ...of fuzzy IF–THEN rules that have learning capability to ... See full document

8

G-Numbers: Importance-Necessity Concept in Uncertain Environment

G-Numbers: Importance-Necessity Concept in Uncertain Environment

... triangular fuzzy numbers are used for the concepts of importance and necessity, and a new approach is proposed to enhance the decision maker’s ability to reduce ambiguity in decision ... See full document

6

A bi-objective multi-echelon supply chain model with Pareto optimal points evaluation for perishable products under uncertainty

A bi-objective multi-echelon supply chain model with Pareto optimal points evaluation for perishable products under uncertainty

... hesitant fuzzy set theory can help experts with the expression of some membership de- grees in a set subject to margin of the ...hesitant fuzzy setting information, many authors have focused on ... See full document

19

A Quadratic Programming with Triangular Fuzzy Numbers

A Quadratic Programming with Triangular Fuzzy Numbers

... of Fuzzy Quadratic Programming (FQP) problem. In this paper a new approach is proposed to derive the fuzzy objective value of fuzzy quadratic programming problem, where the con- ... See full document

10

Fuzzy Logic controller Based Adaptive Dc Link Voltage Control For Common Point Interface Voltage Variations in a 3- Phase Grid Tied SPV system

Fuzzy Logic controller Based Adaptive Dc Link Voltage Control For Common Point Interface Voltage Variations in a 3- Phase Grid Tied SPV system

... the proposed system as compared to conventional system, as in both the cases the ratings are decided based on worst case ...with proposed control approach yields more energy output with the same ... See full document

9

IMPROVEMENT OF IMAGE APPLYING FUZZY LOGIC

IMPROVEMENT OF IMAGE APPLYING FUZZY LOGIC

... have proposed Fuzzy Logic based approach for interpolation of a single image to obtain super resolution ...where Fuzzy Logic Interpolation has high processing time because of fuzzification and ... See full document

6

NETWORK INTRUSION DETECTION SYSTEM USING FUZZY GENETIC ALGORITHM

NETWORK INTRUSION DETECTION SYSTEM USING FUZZY GENETIC ALGORITHM

... a fuzzy genetic algorithm (FGA) for intrusion ...a fuzzy classifier, whose knowledge base is modeled as a fuzzy rule such as "if-then" and improved by a genetic ...operators. Fuzzy ... See full document

10

RЀNYI ENTROPY FOR MIXTURE MODEL OF ULTIVARIATE SKEW NORMAL CAUCHY DISTRIBUTIONS

RЀNYI ENTROPY FOR MIXTURE MODEL OF ULTIVARIATE SKEW NORMAL CAUCHY DISTRIBUTIONS

... the fuzzy-soft-association-rule mining (FSAR) approach and proposed the fast algorithm for finding association rule on fuzzy soft ...combines Fuzzy Soft Set concepts and Association ... See full document

11

A Variable Precision Fuzzy Rough Set Approach to a Fuzzy Rough Decision Table

A Variable Precision Fuzzy Rough Set Approach to a Fuzzy Rough Decision Table

... and fuzzy. In order to make decision in fuzzy approximation space, a fuzzy VPRS (variable precision rough set) approach is proposed based on substitution of the indiscernibility ... See full document

5

Estimation of Confidence Level ‘h’ in Fuzzy Linear Regression Analysis using Shape Preserving Operations

Estimation of Confidence Level ‘h’ in Fuzzy Linear Regression Analysis using Shape Preserving Operations

... the proposed approach is studied by similarity measure based on the graded mean integration representation distance of fuzzy ...the proposed approach. By comparing the proposed ... See full document

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