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A value of information in FLP problems via sensitivity analysis
Affiliation:1. Institut Pasteur, Unité de Pathogénie Microbienne Moléculaire, 28 rue du Dr Roux, 75724 Paris Cedex 15, France;2. INSERM Unité 1202, 28 rue du Dr Roux, 75724 Paris Cedex 15, France;3. Institut Pasteur, Citech, Imagopole, 28 rue du Dr Roux, 75724 Paris Cedex 15, France;4. Collège de France, 11 Place Marcellin Berthelot, F-75231, Paris Cedex 05, France;5. Gustave Roussy Cancer Campus, Laboratoire de Thérapie Cellulaire, 114 Rue Edouard Vaillant, 94800 Villejuif, France;1. Department of Pediatric and Adolescent Medicine;2. Department of Medicine, Center for Clinical Research, Western Michigan University Homer Stryker M.D. School of Medicine, Office 2627, 1000 Oakland Drive, Kalamazoo, MI 49008-8010, USA;1. Department of Pathobiology, School of Veterinary Medicine, Shiraz University, Shiraz, Iran;2. Basic Sciences in Infectious Diseases Research Center, Shiraz University of Medical Sciences, Shiraz, Iran;3. Department of Parasitology, Shiraz University of Medical Sciences, Shiraz, Iran;4. Department of Basic Sciences, School of Veterinary Medicine, Ferdowsi University of Mashhad, Iran;1. Laboratory of Viral Oncology (LVO), Division of Immunology, Allergy and Infectious Diseases (DIAID), Department of Dermatology, Medical University of Vienna, Austria;2. Institute of Laboratory Animal Science, Equine Clinic, Veterinary University of Vienna, Austria;3. Research Group Oncology (RGO), Equine Clinic, Veterinary University of Vienna, Austria
Abstract:A Fuzzy Linear Programming (FLP) Problem is formulated and the value of information is discussed. If the fuzziness of coefficients is decreased by using information about the coefficients, we can expect to obtain a more satisfactory solution than without information. With this view, the prior value of information is discussed. Using the sensitivity analysis technique, a method of allocating the given investigation cost to each fuzzy coefficient is proposed.
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