Entropy-based selection with multiple objectives
โ Scribed by F. Hutton Barron; Charles P. Schmidt
- Publisher
- John Wiley and Sons
- Year
- 1988
- Tongue
- English
- Weight
- 654 KB
- Volume
- 35
- Category
- Article
- ISSN
- 0894-069X
No coin nor oath required. For personal study only.
โฆ Synopsis
In this article we present an approach to determine the initially unspecified weights in an additive measurable multiattribute value function. We formulate and solve a series of nonlinear programming problems which (1 ) incorporate whatever partial information concerning the attribute weights or overall relative value of alternatives the decision maker chooses to provide, yet (2) yield a specific set of weights as a result. Although each formulation is rather easily solved using the nonlinear programming software GIN0 (general interactive optimizer), solutions in closed form dependent on a single parameter are also provided for a number of these problems.
๐ SIMILAR VOLUMES
## a b s t r a c t In this paper, the Kapur cross-entropy minimization model for portfolio selection problem is discussed under fuzzy environment, which minimizes the divergence of the fuzzy investment return from a priori one. First, three mathematical models are proposed by defining divergence as
The notion of optimality and its feasibility are revisited in the context of behavior-based control. It is argued that optimal behavior is not feasible for real-world applications. As an alternative to optimality I promote Pareto-optimal and satisficing solutions which correspond to efficient and "g