{"product_id":"9780792372516","title":"International Series in Operations Research \u0026 Management Science","description":"\u003ch1\u003eInternational Series in Operations Research \u0026amp; Management Science\u003c\/h1\u003e \u003ch2\u003eHanne, Thomas\u003c\/h2\u003e \u003cp\u003eMultiple criteria decision-making research has developed  rapidly and has become a main area of research for dealing with  complex decision problems which require the consideration of multiple  objectives or criteria. Over the past twenty years, numerous multiple  criterion decision methods have been developed which are able to solve  such problems. However, the selection of an appropriate method to  solve a particular decision problem is today's problem for a decision  support researcher and decision-maker. \u003cbr\u003e  \u003cem\u003eIntelligent Strategies for Meta Multiple Criteria  Decision-Making\u003c\/em\u003e deals centrally with the problem of the numerous  MCDM methods that can be applied to a decision problem. The book  refers to this as a `meta decision problem', and it is this problem  that the book analyzes. The author provides two strategies to help the  decision-makers select and design an appropriate approach to a complex  decision problem. Either of these strategies can be designed into a  decision support system itself. One strategy is to use machine  learning to design an MCDM method. This is accomplished by applying  intelligent techniques, namely neural networks as a structure for  approximating functions and evolutionary algorithms as universal  learning methods. The other strategy is based on solving the meta  decision problem interactively by selecting or designing a method  suitable to the specific problem, for example, the constructing of a  method from building blocks. This strategy leads to a concept of MCDM  networks. Examples of this approach for a decision support system  explain the possibilities of applying the elaborated techniques and  their mutual interplay. The techniques outlined in the book can be  used by researchers, students, and industry practitioners to better  model and select appropriate methods for solving complex,  multi-objective decision problems.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2000-12-31\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9780792372516\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-1-4615-1595-1\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 197\u003c\/p\u003e ","brand":"Springer US","offers":[{"title":"Default Title","offer_id":45378467201164,"sku":"9780792372516","price":98.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780792372516.jpg?v=1775004473","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9780792372516","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}