Evaluation method of product development effect based on rough sets and unascertained number

被引:0
|
作者
Li Wan-qing [1 ]
Ma Li-hua [1 ]
Liu Tao [1 ]
机构
[1] Hebei Univ Engn, Sch Econ & Management, Handan 056038, Hebei, Peoples R China
来源
PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE & ENGINEERING (14TH) VOLS 1-3 | 2007年
关键词
product development effect; evaluation index system; unascertained number; evaluation; rough sets;
D O I
10.1109/ICMSE.2007.4421958
中图分类号
F [经济];
学科分类号
02 ;
摘要
In market economy, a new product that enterprises develop has become very important factor of enterprises' continuous development and competition, In this paper, firstly, the indexes of evaluation of product development effect are reduced with Rough sets theory and main factors are obtained. Then a new evaluation method is proposed by analyzing evaluation problem of product development effect including the characteristics of uncertain information. Firstly, evaluation index system is established, and grading standards is put forward. Secondly, factor results and index weights are qualitatively described. Thirdly, the qualitative results are transformed to quantities value. Then unascertained number of factor results and index weights are established. Finally, using unascertained number algorithm, the result of evaluation is worked out. The method is verified by a case study.
引用
收藏
页码:885 / 890
页数:6
相关论文
共 50 条
  • [31] The method of ascertaining attribute weight based on rough sets and its application
    Cao, XY
    Liang, JG
    PROCEEDINGS OF 2002 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE & ENGINEERING, VOLS I AND II, 2002, : 217 - 221
  • [32] Rough sets based extraction method of characteristics from bridge images
    Hirokane, M.
    Nishimura, F.
    Morikawa, Y.
    Hamaguchi, C.
    Proceedings of The Seventh International Conference on the Application of Artificial Intelligence to Civil and Structural Engineering, 2003, : 169 - 170
  • [33] A New Method for Constructing Decision Tree Based on Rough Sets Theory
    Longjun Huang Caiying Zhou Minghe Huang Zhiming Zhuang College of Software Jiangxi Normal University Nanchang China Faculty of Science Jiangxi University of Science and Technology Ganzhou China
    南昌工程学院学报, 2006, (02) : 122 - 125
  • [34] Design and Evaluation of an Anomaly Detection Method based on Cross-Feature Analysis using Rough Sets for MANETs
    Bae, Ihn-Han
    Lee, Hwa-Ju
    2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31, 2008, : 4544 - 4548
  • [35] A Development of Inclusion-degree-based Rough Fuzzy Random Sets
    Ha, Minghu
    Pedrycz, Witold
    Zhang, Aiquan
    Fan, Yijun
    FUNDAMENTA INFORMATICAE, 2008, 86 (04) : 481 - 502
  • [36] A new credit scoring method based on rough sets and decision tree
    Zhou, XiYue
    Zhang, DeFu
    Jiang, Yi
    ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS, 2008, 5012 : 1081 - 1089
  • [37] The effect of the number of ingredient images on package evaluation and product choice
    Thomas, Fanny
    Capelli, Sonia
    RECHERCHE ET APPLICATIONS EN MARKETING-ENGLISH EDITION, 2018, 33 (03): : 6 - 30
  • [38] RESEARCH OF PROCESS PARAMETERS OF MOLECULAR DISTILLATION ON PRODUCT PURITY BASED ON ROUGH SETS NEURAL NETWORK
    Liu, Ke-Ping
    Zeng, Jian-Peng
    Tao, Quan
    Jiang, Chang-Hong
    PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOLS 1-4, 2013, : 320 - 326
  • [39] Feature Selection and Ranking Method based on Intuitionistic Fuzzy Matrix and Rough Sets
    Bich Khue Vo
    Hung Son Nguyen
    PROCEEDINGS OF THE 2022 17TH CONFERENCE ON COMPUTER SCIENCE AND INTELLIGENCE SYSTEMS (FEDCSIS), 2022, : 279 - 288
  • [40] A New Rule Extraction Method and Algorithm by Rough Sets Based on a Rule Space
    Kato, Yuichi
    Saeki, Tetsuro
    IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2010), 2010,