Enhancing Bayes' Probabilistic Decision Support with a Fuzzy Approach

被引：1

作者：

Christias, Panagiotis ^{[1
]}

Mocanu, Mariana ^{[1
]}

机构：

[1] Univ Politehn Bucuresti, Bucharest, Romania

来源：

2019 22ND INTERNATIONAL CONFERENCE ON CONTROL SYSTEMS AND COMPUTER SCIENCE (CSCS) | 2019年

关键词：

decision support; Bayes'; probabilistic uncertainty; energy retrofit; fuzzy decision support;

D O I：

10.1109/CSCS.2019.00049

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes an enhancement to a traditional decision making approach based on Bayes' mathematical theory. The objective is to develop an effective decision support under conditions of uncertainty while exploiting low measured or audited information. The case study will be the application of alternative interventions to buildings in order to improve their energy consumption. A fuzzy approach is examined which attempts to formulate a 'fair' membership function in order to produce weights and assist Bayes' method.

引用

页码：259 / 263

页数：5

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