中国机械工程
中國機械工程
중국궤계공정
CHINA MECHANICAl ENGINEERING
2012年
2期
185-190
,共6页
动态联盟%多粒度语言%优化%正态分布%ET-COWGA
動態聯盟%多粒度語言%優化%正態分佈%ET-COWGA
동태련맹%다립도어언%우화%정태분포%ET-COWGA
dynamic alliance%multi -- granularity linguistic%optimization%normal distribution%extended two--tuple combined ordered weigh*ed geometric averaging(ET--COWGA)
客观事物的复杂性和人类认识的局限性使得评价指标的数据很难用一个精确数表示,具有不同程度的不确定性。在比较分析现有各种表达不确定性方法的基础上,提出了基于多粒度语言的虚拟企业合作伙伴选择方法。首先将多粒度语言一致化为标准语言评价集中的语言,然后基于正态分布的方法求位置权重向量,采用扩展的二元语义组合有序加权几何平均(ET—COWGA)算子集结各专家评价值得到群体综合的各属性评价值。根据局部优化和全局优化结果得到精确的属性权重,利用加权几何平均(ET—WGA)算子集结各属性值,得到方案的综合评价值。最后通过一个实例说明了合作伙伴选择的整个决策过程,并论证了该方法在最后优化决策过程中的有效性。
客觀事物的複雜性和人類認識的跼限性使得評價指標的數據很難用一箇精確數錶示,具有不同程度的不確定性。在比較分析現有各種錶達不確定性方法的基礎上,提齣瞭基于多粒度語言的虛擬企業閤作夥伴選擇方法。首先將多粒度語言一緻化為標準語言評價集中的語言,然後基于正態分佈的方法求位置權重嚮量,採用擴展的二元語義組閤有序加權幾何平均(ET—COWGA)算子集結各專傢評價值得到群體綜閤的各屬性評價值。根據跼部優化和全跼優化結果得到精確的屬性權重,利用加權幾何平均(ET—WGA)算子集結各屬性值,得到方案的綜閤評價值。最後通過一箇實例說明瞭閤作夥伴選擇的整箇決策過程,併論證瞭該方法在最後優化決策過程中的有效性。
객관사물적복잡성화인류인식적국한성사득평개지표적수거흔난용일개정학수표시,구유불동정도적불학정성。재비교분석현유각충표체불학정성방법적기출상,제출료기우다립도어언적허의기업합작화반선택방법。수선장다립도어언일치화위표준어언평개집중적어언,연후기우정태분포적방법구위치권중향량,채용확전적이원어의조합유서가권궤하평균(ET—COWGA)산자집결각전가평개치득도군체종합적각속성평개치。근거국부우화화전국우화결과득도정학적속성권중,이용가권궤하평균(ET—WGA)산자집결각속성치,득도방안적종합평개치。최후통과일개실례설명료합작화반선택적정개결책과정,병론증료해방법재최후우화결책과정중적유효성。
Due to the complexity of objective things and the ambiguity of human thinking, it is difficulty to value an assessment attribute with an exact value, but usually with uncertainty in varying degrees. On the basis of comparing and analyzing the existing methods of expressing uncertainty, decision making of dynamic alliance partner group based on multi--granularity linguistic representation was proposed. In this approach, multi-- granularity linguistic attributes values provided by experts, were uniformed into the normalized two--tuple linguistic representation with the same granularity, and were aggregated into group integrated linguistic assessment value for each attribute using ET-- COWGA operator,where the relative position weights were identified with the method of normal distribution. First through local optimization and then global optimization, the accurate attribute weight vector was derived, and then group integrated linguistic assessment values for each attribute were once again aggregated, using weighted geometric averaging(WGA) operator,into alternatives' overall val- ue. An illustrative example was given to demonstrate the whole process of partner decision making, and to verify that the proposed method is reasonable and effective in the final process of optimization decision making.