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A decision support system and a heuristic interactive approach for solving discrete multiple criteria problems

机译:解决离散多准则问题的决策支持系统和启发式交互式方法

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摘要

The paper consists of two parts: (1) a decision-support system (DSS) for discrete multiple criteria decision-making (MCDM) problems; and (2) a heuristic interactive approach when the decision-maker (DM) responds to paired comparisons of alternatives. In the DSS, the DM is provided with flexibility in terms of using different approaches, different assumptions, and manipulating and controlling the solution procedure in a very simple and convenient way. In the interactive approach it is assumed that the DM wishes to maximize an unknown quasiconcave utility function for discrete MCDM problems. Several heuristic procedures are developed for ranking and eliminating alternatives, assuming that the DM can make paired comparisons and indicate strength of preference. An interactive paired comparison method is developed using these heuristics and a gradient-based procedure. Heuristic approaches for finding local adjacent discrete points to approximate the gradient and for identifying discrete points for the one-dimensional search are discussed.
机译:本文包括两个部分:(1)决策支持系统(DSS),用于离散多准则决策(MCDM)问题; (2)当决策者(DM)对备选方案的成对比较做出响应时的启发式互动方法。在DSS中,DM在使用不同方法,不同假设以及以非常简单和方便的方式来操纵和控制解决程序方面具有灵活性。在交互式方法中,假设DM希望针对离散的MCDM问题最大化未知的拟凹效用函数。假设DM可以进行配对比较并指出偏好强度,则开发了几种启发式程序来对替代项进行排名和消除。使用这些试探法和基于梯度的过程,开发了一种交互式配对比较方法。讨论了寻找局部相邻离散点以逼近梯度并为一维搜索识别离散点的启发式方法。

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