[1]李兴森,许立波,刘海涛,等.因素空间与可拓学的互补性分析及问题处理融合模型[J].智能系统学报,2022,17(5):990-998.[doi:10.11992/tis.202106016]
LI Xingsen,XU Libo,LIU Haitao,et al.A complementary analysis of factor space and extenics and a fusion model for solving problems[J].CAAI Transactions on Intelligent Systems,2022,17(5):990-998.[doi:10.11992/tis.202106016]
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LI Xingsen,XU Libo,LIU Haitao,et al.A complementary analysis of factor space and extenics and a fusion model for solving problems[J].CAAI Transactions on Intelligent Systems,2022,17(5):990-998.[doi:10.11992/tis.202106016]
因素空间与可拓学的互补性分析及问题处理融合模型
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
17
期数:
2022年第5期
页码:
990-998
栏目:
学术论文—人工智能基础
出版日期:
2022-09-05
- Title:
- A complementary analysis of factor space and extenics and a fusion model for solving problems
- Keywords:
- factor space; extenics; problem solving; artificial intelligence; big data; model; intelligent mathematics; knowledge management
- 分类号:
- TP18
- 文献标志码:
- 2022-05-19
- 摘要:
- 问题智能处理是人工智能领域具有挑战性和交叉性的课题。大数据与人工智能技术背景下，为了给具有较高普遍性的开放性问题求解提供新的理论支撑，对因素空间与可拓学做了对比分析，发现两者具有共同的数学基础，在问题智能处理等研究方向有交叉性和互补性。以面向问题处理的融合模型为例，论证了可拓学与因素空间交叉研究的基本路径及其可行性，提出了两者交叉研究的主要方向，阐明了实际应用的潜在优势及适用范围。该研究将有助于进一步提高问题处理的系统性、智能化水平，提高解决问题从不确定性、偶然性到必然性的程度，并将推动为智能科学服务的智能数学的发展。
- Abstract:
- Intelligent problem solving is a challenging and cross-cutting subject in the field of artificial intelligence. To theoretically support the method for solving the open problem with high universality under the background of big data and artificial intelligence technology, we conducted a comparative analysis of factor space and extenics, finding that they have a common mathematical basis and are overlapping and complementarity in the research direction of intelligent solving of problems. Taking the fusion model for solving problems as an example, this paper demonstrates the basic path and feasibility of the cross study of extenics and factor space. We presented the main direction of the cross research of extenics and factor space, and we expounded on the potential advantages and application scope of problem solving in practice. This research will help increase the systematic and intelligent level of problem solving, improve the degree of problem solving from uncertainty, contingency to inevitability, and promote the development of intelligent mathematics—a mathematical branch of intelligent science.
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备注/Memo
收稿日期:2021-06-10。
基金项目:国家自然科学基金项目(72071049,61350003)；教育部人文社科项目(18YJAZH049).
作者简介:李兴森，教授、博士，中国人工智能学会理事，中国创造学会理事，中国人工智能学会可拓学专业委员会主任，主要研究方向为可拓学、知识管理与可拓智能创新。主持省部级以上项目5项，在高校、政府部门、协会及企业培训可拓思维与智能创新200余场。获国际IJITDM西蒙信息技术与决策突出贡献奖及浙江省自然科学学术奖等。出版专著4部，编写教材3部，发表学术论文120余篇;许立波，博士，主要研究方向为人工智能、智能信息处理。主持或参与省自然科学基金、市重大技术专项项目等4项，撰写专著1本，发表学术论文20多篇;刘海涛，副教授，博士，主要研究方向为因素空间理论及其应用、模糊多属性决策的结构元分析技术。主持和参与了由省教育厅、科技厅、国家自然科学基金委及教育部资助的多项科研项目的研究工作。获市科技进步一等奖1项、自然科学学术成果奖特等奖、一等奖各1项。出版专著《因素空间与人工智能》获国家出版基金资助，并被评为“十三五”国家重点图书出版规划中的重大出版工程项目，发表学术论文20多篇
通讯作者:许立波. E-mail：xlb@nbt.edu.cn
更新日期/Last Update:
1900-01-01