Please wait, while we are loading the content...
Please wait, while we are loading the content...
| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Qu Li-li Chen Yan |
| Copyright Year | 2007 |
| Description | Author affiliation: Dalian Maritime Univ., Dalian (Qu Li-li; Chen Yan) |
| Abstract | Many practical problems are characterized as decision making with multiple, conflicting and noncommensurable nonlinear objectives and complex criteria. For identifying these nonlinear function structure and multiple attributes is a very difficult, time consuming, and confusing job in multiple criteria decision making (MCDM). This paper presents a feedforward artificial neural network (FANN) as a flexible and versatile approach for solving MCDM problems. In order to make the proposed ANN more adaptive to MCDM, this paper presents improvement methods to the FANN. Multicriteria hierarchy structure is established in an interactive method to determine appropriate network input-output structure. Fuzzy AHP is integrated with FANN. Criteria weights evaluated by Fuzzy AHP are used as ANN initial weights, which can make the FANN's weights get the definable meaning and avoid to be selected randomly. The method to standardize the criteria dimension can make the sigmoid activation function more efficient in ANN training. Arithmetic average function is applied to produce criteria value repeatedly to promise the generalization of ANN. We apply the proposed method to evaluate the location of logistic centers. The rank result indicates this model is a feasible and practical MCDM method which analyses both the qualitative and quantitative factors. |
| Starting Page | 162 |
| Ending Page | 167 |
| File Size | 4218320 |
| Page Count | 6 |
| File Format | |
| ISBN | 9787560322780 |
| DOI | 10.1109/ICMSE.2007.4421841 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-08-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | HARBIN INSTITUTE OF TEC |
| Subject Keyword | neural network optimization Costs Decision making Artificial neural networks Conference management Engineering management Neural networks fuzzy-AHP Production FANN MCDM logistic center location selection Logistics Data envelopment analysis Arithmetic |
| Content Type | Text |
| Resource Type | Article |
National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.
Learn more about this project from here.
NDLI is a conglomeration of freely available or institutionally contributed or donated or publisher managed contents. Almost all these contents are hosted and accessed from respective sources. The responsibility for authenticity, relevance, completeness, accuracy, reliability and suitability of these contents rests with the respective organization and NDLI has no responsibility or liability for these. Every effort is made to keep the NDLI portal up and running smoothly unless there are some unavoidable technical issues.
Ministry of Education, through its National Mission on Education through Information and Communication Technology (NMEICT), has sponsored and funded the National Digital Library of India (NDLI) project.
| 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 |
|
Loading...
|