计算机工程
計算機工程
계산궤공정
COMPUTER ENGINEERING
2014年
5期
209-215
,共7页
双层决策%融合决策%Dempster-Shafer理论%主观证据%Dempster组合规则
雙層決策%融閤決策%Dempster-Shafer理論%主觀證據%Dempster組閤規則
쌍층결책%융합결책%Dempster-Shafer이론%주관증거%Dempster조합규칙
double-layer decision%fusion decision%Dempster-Shafer theory%subjective evidence%Dempster combination rule
在层次结构显著、决策执行过程具有次序性的层次性决策中,为解决由决策主体给出的主观证据之间同时存在独立与相关2种关系的融合决策问题,结合该类决策的特征,提出一种能够规避管理者主观证据多次重复合成的融合决策方法,并通过去合成规则将相对简单的2个相关证据合成规则,拓展为更具普适性的多源相关证据融合规则,在此基础上按照由上至下、由内至外的次序,应用给出的相关证据融合规则和Dempster组合规则,构建适用于双层多源主观证据融合决策的方法步骤,并描述层次权重在决策过程中的目标导向作用。应用不同方法对同一决策问题进行数值模拟求解,分析结果表明,该方法与传统方法相比,更具科学有效性。
在層次結構顯著、決策執行過程具有次序性的層次性決策中,為解決由決策主體給齣的主觀證據之間同時存在獨立與相關2種關繫的融閤決策問題,結閤該類決策的特徵,提齣一種能夠規避管理者主觀證據多次重複閤成的融閤決策方法,併通過去閤成規則將相對簡單的2箇相關證據閤成規則,拓展為更具普適性的多源相關證據融閤規則,在此基礎上按照由上至下、由內至外的次序,應用給齣的相關證據融閤規則和Dempster組閤規則,構建適用于雙層多源主觀證據融閤決策的方法步驟,併描述層次權重在決策過程中的目標導嚮作用。應用不同方法對同一決策問題進行數值模擬求解,分析結果錶明,該方法與傳統方法相比,更具科學有效性。
재층차결구현저、결책집행과정구유차서성적층차성결책중,위해결유결책주체급출적주관증거지간동시존재독립여상관2충관계적융합결책문제,결합해류결책적특정,제출일충능구규피관리자주관증거다차중복합성적융합결책방법,병통과거합성규칙장상대간단적2개상관증거합성규칙,탁전위경구보괄성적다원상관증거융합규칙,재차기출상안조유상지하、유내지외적차서,응용급출적상관증거융합규칙화Dempster조합규칙,구건괄용우쌍층다원주관증거융합결책적방법보취,병묘술층차권중재결책과정중적목표도향작용。응용불동방법대동일결책문제진행수치모의구해,분석결과표명,해방법여전통방법상비,경구과학유효성。
In order to solve the hierarchical fused decision problem of remarkable hierarchical structure and ordered decision implementation that independent and interrelated relationships co-exist in subjective evidences given by decision makers, the fusion mechanism is proposed combined with characteristics of hierarchical decision making to wipe out the influence of supervisors’ subjective evidence being repeatedly synthesized and the fusion rule adapted to only two interrelated evidences is expanded for more interrelated evidences according to the rule of de-synthesizing. After that, decision making steps for double-layer subjective fusion decision with multiple sources are constructed by the suggested integration rule for fusing interrelated evidences and the traditional Dempster combination rule following sequences of“up to down”and“inner to outer”, in which hierarchical weights are reflected. A decision problem is resolved by three methods, and the data comparison analysis shows the proposed method is scientific and efficient finally.