Advanced Fuzzy Cognitive Maps Modelling a Nearly Zero Energy Building

被引：0
|
作者：
Vergini, Eleni S. [1 ]
Groumpos, Peter P. [1 ]
机构：
[1] Univ Patras, Dept Elect & Comp Engn, Patras, Greece
来源：
2020 11TH INTERNATIONAL CONFERENCE ON INFORMATION, INTELLIGENCE, SYSTEMS AND APPLICATIONS (IISA 2020) | 2020年
关键词：
Fuzzy Cognitive Maps; State-Space approach; Nearly Zero Energy building; Decision Making;
D O I：
10.1109/iisa50023.2020.9284347
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Fuzzy Cognitive Maps (FCM) are developed in recent decades in order to model complex systems, combining Fuzzy Logic and Neural Networks. They have been used in various systems and applications and they have been combined with learning algorithms and experts' knowledge. This paper presents new equations for the concept values calculation and uses the state-space approach in FCMs, separating the concepts as inputs, states and outputs. All the above are applied on a FCM, modelling a Nearly Zero Energy Building (nZEB), creating a strong base for further improvement and research.
引用
收藏
页码：224 / 228
页数：5
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