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What is Multiple-Attribute Decision Making (MADM)

Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence
A sub-discipline of operations research that is concerned with structuring and solving decision and planning problems involving multiple attributes.
Published in Chapter:
Ranking of Cloud Services Using Opinion Mining and Multi-Attribute Decision Making: Ranking of Cloud Services Using Opinion Mining and MADM
Srimanyu Timmaraju (Institute for Development and Research in Banking Technology, India), Vadlamani Ravi (Institute for Development and Research in Banking Technology, India), and G. R. Gangadharan (Institute for Development and Research in Banking Technology, India)
DOI: 10.4018/978-1-5225-2031-3.ch022
Abstract
Cloud computing has been a major focus of business organizations around the world. Many applications are getting migrated to the cloud and many new applications are being developed to run on the cloud. There are already more than 100 cloud service providers in the market offering various cloud services. As the number of cloud services and providers is increasing in the market, it is very important to select the right provider and service for deploying an application. This paper focuses on recommendation of cloud services by ranking them with the help of opinion mining of users' reviews and multi-attribute decision making models (TOPSIS and FMADM were applied separately) in tandem on both quantitative and qualitative data. Surprisingly, both TOPSIS and FMADM yielded the same rankings for the cloud services.
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More Results
Social Network Analysis: Self-Organizing Map and WINGS by Multiple-Criteria Decision Making
MADM is a branch of MCDM. This method involves making preference decisions, such as evaluation, prioritization, and selection over the available alternatives characterized by multiple and conflicting attributes. The papers of MADM are available in many fields of ranking/selecting the appropriate alternative.
Full Text Chapter Download: US $37.50 Add to Cart
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