Determination of a Matrix of the Dependencies Between Features Based on the Expert Knowledge

被引：4

作者：

Kiersztyn, Adam ^{[1
]}

Karczmarek, Pawel ^{[1
]}

Zhadkovska, Khrystyna ^{[1
]}

Pedrycz, Witold ^{[2
,3
,4
]}

机构：

[1] John Paul II Catholic Univ Lublin, Inst Math & Comp Sci, Ul Konstantynow 1H, PL-20708 Lublin, Poland

[2] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6R 2V4, Canada

[3] King Abdulaziz Univ, Dept Elect & Comp Engn, Fac Engn, Jeddah 21589, Saudi Arabia

[4] Polish Acad Sci, Syst Res Inst, Warsaw, Poland

来源：

ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING (ICAISC 2018), PT II | 2018年 / 10842卷

基金：

加拿大自然科学与工程研究理事会;

关键词：

Expert system; Analytic Hierarchy Process (AHP); Decision-making; Electricity consumption; Biodiversity; ANALYTIC HIERARCHY PROCESS; ECOLOGICAL RESTORATION; ENERGY-CONSUMPTION; PREDICTIVE MODEL; SELECTION; BIODIVERSITY; CONSERVATION; REGRESSION;

D O I：

10.1007/978-3-319-91262-2_50

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In the paper, we investigate the problem of replacing long-lasting and expensive research by expert knowledge. The proposed innovative method is a far-reaching improvement of the AHP method. Through the use of a slider, the proposed approach can be used by experts who have not yet met the AHP method or do not feel comfortable when using classic approach related to words and numbers. In the series of experiments, we confirm the efficiency of the method in a modeling of electricity consumption in teleinformatics and in an application of biodiversity to urban planning.

引用

页码：570 / 578

页数：9

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