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作者:

Yang, Zaoli (Yang, Zaoli.) | Lin, Mingwei (Lin, Mingwei.) | Li, Yuchen (Li, Yuchen.) | Zhou, Wei (Zhou, Wei.) | Xu, Bing (Xu, Bing.)

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EI Scopus SCIE

摘要:

Smart agriculture can enhance agricultural production efficiency, improve the ecological environment, and realize the sustainable development of agriculture. Many countries and companies are working hard to develop or introduce smart agricultural solutions. Because of the shackles of traditional agricultural management methods and fierce competition with a variety of different solutions, it is a difficult task for enterprises to select and implement smart agricultural solutions smoothly. Hence, enterprises must assess alternative solutions and select a feasible solution in advance. This study drew a novel assessment and selection for smart agriculture solutions using an information error-based Pythagorean fuzzy cloud algorithm. First, an evaluation index system built on smart agriculture solutions was constructed from four aspects. Then, a new concept of Pythagorean fuzzy clouds was defined to express the evaluation information for each indicator. Simultaneously, the Pythagorean fuzzy cloud weighted Bonferroni mean (PFCWBM) operator was developed to aggregate the assessment information of multiple indicators. Next, an assessment and selection decision framework for smart agriculture solutions based on the PFCWBM operator was presented. In addition, an example was given to illustrate the effectiveness of the proposed algorithm. Finally, a discussion was conducted to verify the superiority of our approach. The results showed that our algorithm can characterize and evaluate complex information and has high sensitivity and environmental adaptability.

关键词:

information error smart agriculture solutions Pythagorean fuzzy cloud assessment and selection decision

作者机构:

  • [ 1 ] [Yang, Zaoli]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
  • [ 2 ] [Li, Yuchen]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
  • [ 3 ] [Lin, Mingwei]Fujian Normal Univ, Coll Math & Informat, Fuzhou 350007, Fujian, Peoples R China
  • [ 4 ] [Zhou, Wei]Yunnan Univ Finance & Econ, Sch Finance, Kunming, Yunnan, Peoples R China
  • [ 5 ] [Xu, Bing]Heriot Watt Univ, Edinburgh Business Sch, Edinburgh, Midlothian, Scotland

通讯作者信息:

  • [Li, Yuchen]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China;;[Lin, Mingwei]Fujian Normal Univ, Coll Math & Informat, Fuzhou 350007, Fujian, Peoples R China

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来源 :

INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS

ISSN: 0884-8173

年份: 2021

期: 11

卷: 36

页码: 6387-6418

7 . 0 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:87

JCR分区:1

被引次数:

WoS核心集被引频次: 12

SCOPUS被引频次: 11

ESI高被引论文在榜: 0 展开所有

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中文被引频次:

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