NDLI: The Improved Fuzzy Classification Model on Disaster Loss

Content Provider	IEEE Xplore Digital Library
Author	Li Jing Chen Jian-yun Xu Qiang
Copyright Year	2009
Abstract	The aim of this paper is to solve the next two questions: (1) The quantitative assessment and classification of the disaster loss is a complex and difficult work. It often encounters the problem that different people will arbitrarily create different membership functions for the same issue, so the results of different model can not be compared. (2) The evaluation factors may have mutual relationships between each other, which will affect the results. The research methods of this paper are as follow: Firstly, this paper decomposes the related indexes based on orthogonalization theory, the aim of this step is to solve mutual relations between the factors leading to disaster losses; then confirms membership degree with the genetic algorithm (GA) method, getting the best membership of the factors; finally, this paper uses the fuzzy theory to recognize the damage degree of natural disaster, and evaluates the damage degree of mud-rock flow in Bijie area Guizhou province. The result is that the grade of disaster loss of Bijie area is low. The conclusion shows that the improved fuzzy classification model on disaster loss effectively solves the arbitrary and relevant problem of factors.
Starting Page	409
Ending Page	412
File Size	334097
Page Count	4
File Format	PDF
ISBN	9780769537351
DOI	10.1109/FSKD.2009.37
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Knowledge engineering fuzzy theory Hazards Pattern recognition membership Risk analysis orthogonalization theory Sun Genetic algorithms disaster GA method Earthquakes Mathematical model Pattern analysis Fuzzy systems
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Genetic optimization of fuzzy membership functions

A Fuzzy Classification Method Based on Quantum Genetic Algorithm and Its Application in Pattern Recognition

Hybridization of fuzzy GBML approaches for pattern classification problems

Fuzzy Random Method in Earthquake Disaster Risk Assessment

Sequential self-reorganization method of symptom parameters and identification method of membership function for fuzzy diagnosis

A fuzzy-based localization in range-free wireless sensor network using genetic algorithm&Sinc membership function

Evolutionary algorithms for constructing linguistic rule-based systems for high-dimensional pattern classification problems

Learning Membership Functions in Takagi-Sugeno Fuzzy Systems by Genetic Algorithms

Designing a Fuzzy Classifier Using Genetic Algorithm and Application in Chinese Vowel Recognition

The Improved Fuzzy Classification Model on Disaster Loss

Similar Documents

Genetic optimization of fuzzy membership functions

A Fuzzy Classification Method Based on Quantum Genetic Algorithm and Its Application in Pattern Recognition

Hybridization of fuzzy GBML approaches for pattern classification problems

Fuzzy Random Method in Earthquake Disaster Risk Assessment

Sequential self-reorganization method of symptom parameters and identification method of membership function for fuzzy diagnosis

A fuzzy-based localization in range-free wireless sensor network using genetic algorithm&Sinc membership function

Evolutionary algorithms for constructing linguistic rule-based systems for high-dimensional pattern classification problems

Learning Membership Functions in Takagi-Sugeno Fuzzy Systems by Genetic Algorithms

Designing a Fuzzy Classifier Using Genetic Algorithm and Application in Chinese Vowel Recognition

The Improved Fuzzy Classification Model on Disaster Loss