...
首页> 外文期刊>Journal of Cleaner Production >Optimal site selection of straw biomass power plant under 2-dimension uncertain linguistic environment
【24h】

Optimal site selection of straw biomass power plant under 2-dimension uncertain linguistic environment

机译:二维不确定语言环境下秸秆生物质电厂的选址优化

获取原文
获取原文并翻译 | 示例

摘要

The optimal site selection is extremely important for straw biomass power plant. Uncertainty composed of fuzziness and randomness is an important issue in the site selection under increasingly complex environments. The 2-dimension linguistic information is a powerful tool to express the fuzziness of information, and meanwhile, the cloud model depicts the randomness of information with three numerical characteristics perfectly. Combining them together, this paper proposes the specialized decision framework of straw biomass power plant site selection. Firstly, a comprehensive set of index system is established to meet the need of scientific and reasonable evaluation. Secondly, the paper combines three-parameter interval number and order relation to determine the index weight, the importance of each factor is calculated. Thirdly, this paper uses the 2-dimension uncertain linguistic variable group decision making model which solves the bias caused by individuals, fully expresses expert opinions and reflects the psychological states well, reduces the information missing. Finally, the paper proposes the specialized decision framework of straw biomass power plant site selection which clearly standardizes the decision-making process, provides the project managers with executable and real solutions. The results show that the model is very effective to study the straw biomass power plant site selection and is well worth popularizing in the future studies. (C) 2018 Elsevier Ltd. All rights reserved.
机译:最佳选址对于秸秆生物质发电厂极为重要。在日益复杂的环境中,由模糊性和随机性组成的不确定性是选址的重要问题。二维语言信息是表达信息模糊性的有力工具,同时,云模型以三个数值特征完美地描述了信息的随机性。结合它们,提出了秸秆生物质电厂选址的专业决策框架。首先,建立一套全面的指标体系,以满足科学合理评价的需要。其次,结合三参数区间数和阶次关系确定指标权重,计算出各因素的重要性。第三,本文采用二维不确定语言变量组决策模型,解决了个人造成的偏见,充分表达了专家意见,很好地反映了心理状态,减少了信息丢失。最后,本文提出了秸秆生物质能发电厂选址的专业决策框架,该决策框架明确规范了决策过程,为项目经理提供了切实可行的解决方案。结果表明,该模型对于研究秸秆生物质能发电厂的选址非常有效,值得在以后的研究中推广。 (C)2018 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Journal of Cleaner Production 》 |2019年第1期| 1179-1192| 共14页
  • 作者单位

    North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China|North China Elect Power Univ, Beijing Key Lab New Energy & Low Carbon Dev, Beijing 102206, Peoples R China;

    North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China|North China Elect Power Univ, Beijing Key Lab New Energy & Low Carbon Dev, Beijing 102206, Peoples R China;

    China Gezhouba Grp 3 Engn CO LTD, Xian 710077, Shaanxi, Peoples R China;

    North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China|North China Elect Power Univ, Beijing Key Lab New Energy & Low Carbon Dev, Beijing 102206, Peoples R China;

    North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China|North China Elect Power Univ, Beijing Key Lab New Energy & Low Carbon Dev, Beijing 102206, Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Clean energy; Straw biomass power plant (SBPP); Site selection; Cloud model; 2-Dimension uncertain linguistic variable;

    机译:清洁能源;秸秆生物质发电厂(SBPP);选址;云模型;二维不确定语言变量;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号