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Incomplete Fuzzy Information System

Yang Xibei,Yang Jingyu,Wu Chen,Fu Fan

Strategic Study of CAE 2006, Volume 8, Issue 7,   Pages 47-53

Abstract:

In this paper, incomplete fuzzy information system is studied.In order to deal with it by rough set theory, fuzzy compatible relation and fuzzy rough approximationFurthermore, fuzzy covering on universe is proposed, three different operations on the coverings areincomplete fuzzy information system.A new method for measuring the strength of partial fuzzy knowledge dependency is proposed.

Keywords： incomplete fuzzy information system     fuzzy compatible relation     fuzzy rough set     fuzzy covering     fuzzy roughentropy     fuzzy knowledge dependency    

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An overview on the applications of the hesitant fuzzy sets in group decision-making: Theory, support

Zeshui XU, Shen ZHANG

Frontiers of Engineering Management 2019, Volume 6, Issue 2,   Pages 163-182 doi: 10.1007/s42524-019-0017-4

Abstract: Due to the characteristics of hesitant fuzzy sets (HFSs), one hesitant fuzzy element (HFE), which isIn this paper, we elaborate on hesitant fuzzy GDM from these three aspects.The first aspect is mainly about the introduction of HFSs, HFPRs and some hesitant fuzzy aggregationThe second aspect describes the consensus process under hesitant fuzzy environment, which is an importantIn the third aspect, we introduce seven hesitant fuzzy GDM approaches, which can be applied in GDM under

Keywords： hesitant fuzzy set     hesitant fuzzy preference relation     group decision-making    

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Analytic Method to a Kind of Grey Fuzzy Decision Making Based on Entropy

Luo Dang,Liu Siwei

Strategic Study of CAE 2004, Volume 6, Issue 10,   Pages 48-51

Abstract:

Based on grey system theory and fuzzy theory, uncertain decision making problems and several relativearticles were studied, then points out the advantage and shortage of them when dealing with grey fuzzymaximum entropy formulism, a method for multi-attribute group decision making based on the theory of grey fuzzyrelation is established.

Keywords： grey fuzzy relation     entropy     multi-attribute decision making    

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Flexible resonant tank for a combined converter to achieve an HPS and LED compatible driver

Jin HU,Hui-pin LIN,Zheng-yu LU,Feng-wu ZHOU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 8,   Pages 679-693 doi: 10.1631/FITEE.1500054

Abstract: A novel HPS and LED compatible driver is proposed which is rather suitable and flexible for driving HPS

Keywords： High pressure sodium (HPS)     Light emitting diode (LED)     Compatible driver     Ballast    

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Description and reasoning of integrated topological and directional relation of bodies in 3D space

Liu Xin,Li Chengming and Liu Wenbao

Strategic Study of CAE 2013, Volume 15, Issue 5,   Pages 8-13

Abstract: According to definition of integrated topological and direction relation, the qualitative reasoning of

Keywords： spatial relation     topological relation     direction relation     integrated topological and direction relation    

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Entity and relation extraction with rule-guided dictionary as domain knowledge

Frontiers of Engineering Management 2022, Volume 9, Issue 4,   Pages 610-622 doi: 10.1007/s42524-022-0226-0

Abstract: Entity and relation extraction is an indispensable part of domain knowledge graph construction, whichThe existing entity and relation extraction methods that depend on pretrained models have shown promisingRelation extraction is based on the hypothesis that the relations hidden in sentences are unified, therebyship relation datasets is improved by +1%, +6%, +2%, and +1%, respectively.In addition, the extraction accuracy of entity relation triplet reaches 83% and 76% on laser industry

Keywords： entity extraction     relation extraction     prior knowledge     domain rule    

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Knowledge enhanced graph inference network based entity-relation extraction and knowledge graph construction

Frontiers of Engineering Management 2024, Volume 11, Issue 1,   Pages 143-158 doi: 10.1007/s42524-023-0273-1

Abstract: graph construction in the industrial domain, predicated on knowledge-enhanced document-level entity and relationFor relation extraction, this paper introduces the knowledge-enhanced graph inference (KEGI) network,The F1 value for entity and relation extraction has been enhanced by 2% to 6%.

Keywords： knowledge graph construction     industrial     BiLSTM-CRF     document-level relation extraction     graph inference    

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Macrozoobenthic assemblages in relation to environments of the Yangtze-isolated lakes

Baozhu PAN, Haijun WANG, Hongzhu WANG, Zhaoyin WANG

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 2,   Pages 246-254 doi: 10.1007/s11783-011-0381-8

Abstract: Eutrophication can shift lakes from a clear, macrophyte-dominated state to a turbid, algae-dominated state, and different habitat condition supports different fauna. Macrozoobenthos are good indicators of water environment, and studies on macrozoobenthic assemblage characteristics can help us to know which state a lake is in, thus provide the basis for its eutrophication control. In this study, a systematic investigation on macrozoobenthos was conducted in 17 Yangtze-isolated lakes to explore the macroecological laws of macrozoobenthic assemblages. Detrended correspondence analysis (DCA) revealed that variance of benthic assemblage structure occurred in two types of lakes. In macrophytic lakes, altogether 51?taxa of macrozoobenthos were identified. The average density and biomass of total macrozoobenthos were 2231?individuals·m and 1.69 g dry weight·m , respectively. Macrozoobenthic assemblage was characterized by dominance of scrapers (i.e. gastropods). In algal lakes, altogether 20 taxa of macrozoobenthos were identified. The average density and biomass of total macrozoobenthos were 2814 individuals·m and 1.38 g dry weight·m , respectively. Macrozoobenthic assemblage was characterized by dominance of collector-gatherers (i.e. oligochaetes). Wet biomass of submersed macrophytes ( ) and phytoplankton chlorophyll concentration ( ) were demonstrated as the key factor structuring macrozoobenthic assemblages in macrophytic and algal lakes, respectively.

Keywords： macrozoobenthos     assemblage characteristics     environment analyses     macrophytic lake     algal lake    

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A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0736-9

Abstract: Recently, advanced sensing techniques ensure a large number of multivariate sensing data for intelligent fault diagnosis of machines. Given the advantage of obtaining accurate diagnosis results, multi-sensor fusion has long been studied in the fault diagnosis field. However, existing studies suffer from two weaknesses. First, the relations of multiple sensors are either neglected or calculated only to improve the diagnostic accuracy of fault types. Second, the localization for multi-source faults is seldom investigated, although locating the anomaly variable over multivariate sensing data for certain types of faults is desirable. This article attempts to overcome the above weaknesses by proposing a global method to recognize fault types and localize fault sources with the help of multi-sensor relations (MSRs). First, an MSR model is developed to learn MSRs automatically and further obtain fault recognition results. Second, centrality measures are employed to analyze the MSR graphs learned by the MSR model, and fault sources are therefore determined. The proposed method is demonstrated by experiments on an induction motor and a centrifugal pump. Results show the proposed method’s validity in diagnosing fault types and sources.

Keywords： fault recognition     fault localization     multi-sensor relations     network analysis     graph neural network    

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Soy food consumption in relation to breast cancer modified by menopause status

YANG Rong, ZHANG Bin, YANG Shaoping, ZHANG Dan, DU Yukai

Frontiers of Medicine 2008, Volume 2, Issue 4,   Pages 348-351 doi: 10.1007/s11684-008-0066-2

Abstract: It has been found that lifestyle and diet are associated with the development of cancers. The mortality of breast cancer in Wuhan city is increasing, according to the statistics of recent years. This case control study was aimed to provide data for alimentary therapeutics for breast carcinomas. It included a case group ( = 196) and an age frequency-matched control group ( = 202). A validated food frequency questionnaire was used to obtain information on usual food consumption. The results indicate that intake of soy foods more than 5 times per week was associated with a decreased risk of breast cancer, especially in premenopausal women. The adjusted was 0.294 [95% CI was (0.158–0.546), = 0.000]. Our results indicate that alimentary therapeutics for breast cancer can be adjusted by status of menopause.

Keywords： development     control     lifestyle     consumption     information    

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The ITZ microstructure, thickness, porosity and its relation with compressive and flexural strength of

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 2,   Pages 191-201 doi: 10.1007/s11709-021-0792-y

Abstract: A new insight into the interfacial transition zone (ITZ) in cement mortar specimens (CMSs) that is influenced by cement fineness is reported. The importance of cement fineness in ITZ characterizations such as morphology and thickness is elucidated by backscattered electron images and by consequences to the compressive (Fc) and flexural strength (Ff), and porosity at various water/cement ratios. The findings indicate that by increasing the cement fineness the calcium silicate hydrate formation in the ITZ is favored and that this can refine the pore structures and create a denser and more homogeneous microstructure. By increasing cement fineness by about 25% of, the ITZ thickness of CMSs was reduced by about 30% and Fc was increased by 7%–52% and Ff by 19%–40%. These findings illustrate that the influence of ITZ features on the mechanical strength of CMSs is mostly related to the cement fineness and ITZ microstructure.

Keywords： cement fineness     interfacial transition zone     compressive and flexural strength    

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Understanding barriers to BIM implementation: Their impact across organizational levels in relation to

Sander SIEBELINK, Hans VOORDIJK, Maaike ENDEDIJK, Arjen ADRIAANSE

Frontiers of Engineering Management 2021, Volume 8, Issue 2,   Pages 236-257 doi: 10.1007/s42524-019-0088-2

Abstract: This multiple case study of a contracting firm contributes to understanding the barriers that organizations face during the implementation of building information modeling (BIM) by providing insights into the impact of these barriers across different organizational levels (i.e., from top management to project teams) and by relating these barriers to different degrees of BIM maturity. First, we observe the dominance of barriers related to the motivation, competence, and time capacity of people across all levels of an organization. Second, the cluster of barriers at the middle-management level highlights the important role of this level in reducing these barriers. Third, only those cases with a low level of BIM maturity have struggled with lack of top management support, thereby highlighting the importance of such support in achieving BIM maturity growth. High BIM maturity situations are more prone to externally oriented barriers in attempting to further leverage the benefits of BIM. Our study provides insights on where to focus BIM implementation measures and how to enhance organizational BIM maturity.

Keywords： building information modeling     implementation barriers     maturity     organizational levels    

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Directional relation description and calculation based on Voronoi region in GIS

Li Chengming

Strategic Study of CAE 2013, Volume 15, Issue 5,   Pages 25-29

Abstract:

Directional relation is very important in GIS,but because of depending

Keywords： directional relation     Voronoi Region     CDR     MBR    

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A novel approach for remanufacturing process planning considering uncertain and fuzzy information

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3,   Pages 546-558 doi: 10.1007/s11465-021-0639-1

Abstract: comprehensively studied the interactions among damage conditions and quality requirements that involve uncertain, fuzzyHence, this challenge in the context of uncertain, fuzzy information is undertaken in this paper, andThe solution is provided through an improved Takagi–Sugeno fuzzy neural network (T-S FNN) method.

Keywords： remanufacturing     uncertain and fuzzy information     process planning     T-S FNN    

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Correlation between tension softening relation and crack extension resistance in concrete

Xiufang ZHANG , Shilang XU ,

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 3,   Pages 323-329 doi: 10.1007/s11709-009-0041-2

Abstract: Changes of the material fracture energy consumption with crack propagation can be described by a crack extension resistance curve, one of the fundamental fracture criteria in crack mechanics. Recently, experimental observation of the fracture behavior in concrete was used to develop a new fracture criterion, the crack extension resistance curve, to analyze crack propagation during the entire concrete fracture process. The variation of the crack extension resistance is mainly associated with the energy consumption in the fracture process zone ahead of the stress-free crack tip. The crack extension resistance is then a function of the softening curve, which is a basic mechanical property in the fracture process zone. The relationship between the softening curve and the crack extension resistance curve is then analyzed based on results of three-point bending beams tests. The results indicate that the characteristic points of the crack extension resistance curve is closely related to the characteristic point on used tension softening curve.

Keywords： concrete     fracture process zone     crack extension GR resistance     tension softening curve    

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Title Author Date Type Operation

Incomplete Fuzzy Information System

Yang Xibei,Yang Jingyu,Wu Chen,Fu Fan

Journal Article

An overview on the applications of the hesitant fuzzy sets in group decision-making: Theory, support

Zeshui XU, Shen ZHANG

Journal Article

Analytic Method to a Kind of Grey Fuzzy Decision Making Based on Entropy

Luo Dang,Liu Siwei

Journal Article

Flexible resonant tank for a combined converter to achieve an HPS and LED compatible driver

Jin HU,Hui-pin LIN,Zheng-yu LU,Feng-wu ZHOU

Journal Article

Description and reasoning of integrated topological and directional relation of bodies in 3D space

Liu Xin,Li Chengming and Liu Wenbao

Journal Article

Entity and relation extraction with rule-guided dictionary as domain knowledge

Journal Article

Knowledge enhanced graph inference network based entity-relation extraction and knowledge graph construction

Journal Article

Macrozoobenthic assemblages in relation to environments of the Yangtze-isolated lakes

Baozhu PAN, Haijun WANG, Hongzhu WANG, Zhaoyin WANG

Journal Article

A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Journal Article

Soy food consumption in relation to breast cancer modified by menopause status

YANG Rong, ZHANG Bin, YANG Shaoping, ZHANG Dan, DU Yukai

Journal Article

The ITZ microstructure, thickness, porosity and its relation with compressive and flexural strength of

Journal Article

Understanding barriers to BIM implementation: Their impact across organizational levels in relation to

Sander SIEBELINK, Hans VOORDIJK, Maaike ENDEDIJK, Arjen ADRIAANSE

Journal Article

Directional relation description and calculation based on Voronoi region in GIS

Li Chengming

Journal Article

A novel approach for remanufacturing process planning considering uncertain and fuzzy information

Journal Article

Correlation between tension softening relation and crack extension resistance in concrete

Xiufang ZHANG , Shilang XU ,

Journal Article