基于直觉模糊二元语义交互式群决策的技术创新项目选择
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摘要
为适应全球经济一体化的快速发展,企业应选择最优的技术创新项目,从而提升其竞争力。首先定义了直觉模糊二元语义,探讨了将其区间化的方法,建立了直觉模糊二元语义与区间模糊二元语义之间的联系。接着重新定义了直觉模糊二元语义的距离和相似度,给出了群决策的集结算子。通过集结决策者的意见和进行交互式决策,使得群体的决策意见达到满意的一致性水平。最后以技术创新项目选择为例说明了本文提出的方法。
In order to keep up with the rapid development of global economic integration,enterprises need to select the optimal technology innovation projects,and thus enhance the competitiveness of enterprises. Firstly,the definition of intuitionistic fuzzy 2-tuple linguistic is presented,and the method of its intervalization is discussed. The connection between the intuitionistic fuzzy 2-tuple linguistic and the interval fuzzy 2-tuple linguistic is established. Secondly,the distance and similarity degree of intuitionistic fuzzy 2-tuple linguistic are redefined,and the aggregation operator of group decision making is given. By gathering the opinions of decision makers and making interactive decisions,the required consistency of the opinions of group decision making can be reached. Finally,the proposed method is illustrated by the selection of technological innovation projects.
In order to keep up with the rapid development of global economic integration,enterprises need to select the optimal technology innovation projects,and thus enhance the competitiveness of enterprises. Firstly,the definition of intuitionistic fuzzy 2-tuple linguistic is presented,and the method of its intervalization is discussed. The connection between the intuitionistic fuzzy 2-tuple linguistic and the interval fuzzy 2-tuple linguistic is established. Secondly,the distance and similarity degree of intuitionistic fuzzy 2-tuple linguistic are redefined,and the aggregation operator of group decision making is given. By gathering the opinions of decision makers and making interactive decisions,the required consistency of the opinions of group decision making can be reached. Finally,the proposed method is illustrated by the selection of technological innovation projects.
引文
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[24] Zeng S,Su W,Sun L. A method based on similarity measures for interactive group decision-making with intuitionistic fuzzy preference relations[J]. Applied Mathematical Modelling,2013,37(10-11):6909-6917.
[25]李德清,谷云东.一种基于可能度的区间数排序方法[J].系统工程学报,2008,23(2):243-246.
[26] Liao H C,Mi X M,Xu Z S,et al. Intuitionistic fuzzy analytic network process[J]. IEEE Transactions on Fuzzy Systems,2018. 1-13.
[27]何大义,陈小玲,许加强.多属性群决策问题中基于最小叉熵的权重集成方法[J].控制与决策,2017,32(2):378-384.
[28] Mei Y,Ye J,Zeng Z. Entropy-weighted ANP fuzzy comprehensive evaluation of interim product production schemes in one-of-a-kind production[J]. Computers&Industrial Engineering,2016,100:144-152.
[29]颜惠琴,牛万红,韩惠丽.基于主成分分析构建指标权重的客观赋权法[J].济南大学学报(自然科学版),2017,6:009.
[30]李刚,李建平,孙晓蕾.主客观权重的组合方式及其合理性研究[J].管理评论,2017,29(12):17-26,61.
[2]徐光,白明莹,田也壮,杨洋.基于网络层次分析法的技术创新项目评估体系研究[J].科学管理研究,2015,33(3):40-43.
[3]姚升保.基于集成评价方法的企业技术创新项目决策[J].科研管理,2010,(5):102-107.
[4] Chen T Y. A novel risk evaluation method of technological innovation using an inferior ratio-based assignment model in the face of complex uncertainty[J]. Expert Systems with Applications,2018,95:333-350.
[5] Taylan O,Bafail A O,Abdulaal R M S. Construction projects selection and risk assessment by fuzzy AHP and fuzzy TOPSIS methodologies[J]. Applied Soft Computing,2014,17:105-116.
[6] Herrera F,Martinez L. A 2-tuple fuzzy linguistic representation model for computing with words[J]. IEEE Transactions on Fuzzy Systems,2000,8(6):746-752.
[7] Wei G W. A method for multiple attribute group decision making based on the ET-WG and ET-OWG operators with2-tuple linguistic information[J]. Expert Systems with Applications,2010,37(12):7895-7900.
[8] Meng F,Tang J. Extended 2-tuple linguistic hybrid aggregation operators and their application to multiattribute group decision making[J]. International Journal of Computational Intelligence Systems,2014,7(4):771-784.
[9] Yao S B,Hu J Q. A minimum deviation approach for improving the consistency of uncertain 2-tuple linguistic preference relations[J]. Computers&Industrial Engineering 2018,117,181-190.
[10] Bapi Dutta,Debashree Guha. Partitioned Bonferroni mean based on linguistic 2-tuple for dealing with multiattribute group decision making[J]. Applied Soft Computing,2015,37:166-179.
[11]王中兴,陈晶,兰继斌.基于二元语义Archimedean S-模集成算子的群决策方法[J].中国管理科学,2016,24(8):146-153.
[12] Geng X L,Qiu H Q,Gong X M. An extended 2-tuple linguistic DEA for solving MAGDM problems considering the influence relationships among attributes[J].Computers&Industrial Engineering, 2017, 112:135-146.
[13] Liu P D,Chen S M. Multiattribute group decision making based on intuitionistic 2-tuple linguistic information[J]. Information Sciences, 2018, 430-431:599-619.
[14]徐建中,贯君.基于二元语义组合赋权的制造企业绿色创新能力评价模型及实证研究[J].运筹与管理,2017,26(4):124-131.
[15] Wan S P,Xu G L,Dong J Y. Supplier selection using ANP and ELECTRE II in interval 2-tuple linguistic environment[J]. Information Sciences,2017,385-386:19-38.
[16]周珍,张强,彭岩,荣毅虹,王浩.基于直觉模糊集的电子商务第三方物流选择[J].运筹与管理,2015,24(5):18-23.
[17] Liao H C,Xu Z S,Zeng X J. Distance and similarity measures for hesitant fuzzy linguistic term sets and their application in multi-criteria decision making[J].Information Sciences,2014,271:125-142.
[18]梅晓玲.基于相似度的动态直觉模糊多属性决策方法[J].统计与决策,2016,15:22-24.
[19] Zhu H,Zhao J,Xu Y. 2-dimension linguistic computational model with 2-tuples for multi-attribute group decision making[J]. Knowledge-Based Systems,2016,103:132-142.
[20] Zhang B,Liang H,Zhang G. Reaching a consensus with minimum adjustment in magdm with hesitant fuzzy linguistic term sets[J]. Information Fusion,2018,42:12-23.
[21] Liu P D. A novel method for hybrid multiple attribute decision making[J]. Knowledge-based systems,2009,22(5):388-391.
[22]刘云芬,曹茂中.基于Hausdorff距离的区间数多属性公路网综合评价[J].经济数学,2015,32(4):27-30.
[23] Zhang H, Yu L. New distance measures between intuitionistic fuzzy sets and interval-valued fuzzy sets[J]. Information Sciences,2013,245:181-196.
[24] Zeng S,Su W,Sun L. A method based on similarity measures for interactive group decision-making with intuitionistic fuzzy preference relations[J]. Applied Mathematical Modelling,2013,37(10-11):6909-6917.
[25]李德清,谷云东.一种基于可能度的区间数排序方法[J].系统工程学报,2008,23(2):243-246.
[26] Liao H C,Mi X M,Xu Z S,et al. Intuitionistic fuzzy analytic network process[J]. IEEE Transactions on Fuzzy Systems,2018. 1-13.
[27]何大义,陈小玲,许加强.多属性群决策问题中基于最小叉熵的权重集成方法[J].控制与决策,2017,32(2):378-384.
[28] Mei Y,Ye J,Zeng Z. Entropy-weighted ANP fuzzy comprehensive evaluation of interim product production schemes in one-of-a-kind production[J]. Computers&Industrial Engineering,2016,100:144-152.
[29]颜惠琴,牛万红,韩惠丽.基于主成分分析构建指标权重的客观赋权法[J].济南大学学报(自然科学版),2017,6:009.
[30]李刚,李建平,孙晓蕾.主客观权重的组合方式及其合理性研究[J].管理评论,2017,29(12):17-26,61.