標題: COGNITIVE-MAP-BASED DECISION-ANALYSIS BASED ON NPN LOGICS
作者: CHEN, SM
交大名義發表
資訊工程學系
National Chiao Tung University
Department of Computer Science
關鍵字: COGNITIVE MAP;COGNITIVE UNIT;INEXACT REASONING;NPN LOGIC;SPROUTING TREE
公開日期: 28-四月-1995
摘要: This paper presents a new method for cognitive-map-based decision analysis based on negative-positive-neutral (NPN) logics, where an efficient algorithm is proposed for performing interval-based inexact reasoning automatically. The algorithm performs inexact reasoning via constructing a sprouting tree. The time complexity of the proposed algorithm is O(nm), where n is the number of cognitive units in the cognitive map, m is the length of a closure path, and max(m) = 2n.
URI: http://hdl.handle.net/11536/1975
ISSN: 0165-0114
期刊: FUZZY SETS AND SYSTEMS
Volume: 71
Issue: 2
起始頁: 155
結束頁: 163
顯示於類別:期刊論文


文件中的檔案:

  1. A1995QX69500001.pdf