Introduction and Historical Remarks

Masatoshi Sakawa (), Ichiro Nishizaki () and Hideki Katagiri ()
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Masatoshi Sakawa: Hiroshima University
Ichiro Nishizaki: Hiroshima University
Hideki Katagiri: Hiroshima University

Chapter Chapter 1 in Fuzzy Stochastic Multiobjective Programming, 2011, pp 1-9 from Springer

Abstract: Abstract The main characteristics of the real-world decision making problems facing humans today are uncertain due to the increase in complexity of modern-day society as well as the diversification of values among people. Hence, when formulating a mathematical programming problem which closely describes and represents a real decision situation, various factors of the real system should be reflected in the description of the objective functions and the constraints. Naturally, these objective functions and the constraints involve many parameters whose possible values may be estimated by the experts. In the most traditional approaches, such parameters are fixed at some values in an experimental and/or subjective manner through the experts’ understanding of the nature of the parameters. However, in most practical decision making situations, it would be more appropriate to consider uncertainty of the parameters of the objectives and constraints in the problems.

Keywords: Programming Problem; Fuzzy Number; Stochastic Programming; Pareto Optimal Solution; Fuzzy Goal (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-1-4419-8402-9_1

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DOI: 10.1007/978-1-4419-8402-9_1

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