A Model for Enterprise Architecture Scenario Analysis Based on Fuzzy Cognitive Maps and OWA Operators

被引：0
作者：
Leyva-Vazquez, Maikel [1 ]
Perez-Teruel, Karina [1 ]
John, Robert I. [2 ]
机构：
[1] 1 Univ Ciencias Informat, Havana, Cuba
[2] Univ Nottingham, Sch Comp Sci, Nottingham NG7 2RD, England
来源：
2014 INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATIONS AND COMPUTERS (CONIELECOMP) | 2014年
关键词：
enterprise architecture; enterprise modeling; fuzzy cognitive maps; OWA operator; scenario analysis;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Enterprise architecture makes the connection between enterprise goals, processes and IT systems. These connections represented in causal models can be used to enhance decision making on enterprise-wide issues. This paper describes a new framework for enterprise architecture decision making based on enterprise modeling, fuzzy cognitive mapping and the ordered weighted averaging (OWA) operators. The proposal makes use of causal relations modeling using fuzzy cognitive maps. An OWA operator based on distance are used to rank the scenarios dependent upon the decision makers risk preferences. The model aims to extend the enterprise architecture analysis toolbox, enabling more powerful tools for scenario analysis. A case study showing information systems selection is provided in conjunction with future research directions.
引用
收藏
页码：243 / 247
页数：5
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