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Archives of civil engineering
Random And Fuzzy Measure Of Unpredictable Construction Works
J. KoniorPhD., Eng., Wroclaw University of Technology, Faculty of Civil Engineering, Department of Construction Methods and Management, Wybrze?e Wyspia?skiego 27, 50-370 Wroc?aw, PolandEmailOther articles by this author:De Gruyter OnlineGoogle Scholar1 
[1] PhD., Eng., Wroclaw University of Technology, Faculty of Civil Engineering, Department of Construction Methods and Management, Wybrze?e Wyspia?skiego 27, 50-370 Wroc?aw, Poland
关键词: Keywords: construction;    unpredictable works;    randomness;    fuzziness;   
DOI  :  10.1515/ace-2015-0026
学科分类:建筑学
来源: Polska Akademia Nauk * Instytut Podstawowych Problemow Techniki / Polish Academy of Sciences, Institute of Fundamental Technological Research
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【 摘 要 】

Supplementing well recognised practical models of project and construction management, based on probabilistic and fuzzy events may make possible to transfer the weight of the change and extra orders assessment from the qualitative form to a quantitative one. This assessment, however, is naturally burdened with an immeasurable, subjective aspect. Elaboration of probability of occurrence in a construction project unforeseen building works requires application (in addition to the non-measureable, qualitative criteria) of measurable (quantitative) criteria which still appear during construction project implementation. In reimbursable engineering contracts, a random event described as an extra, supplementary building work has a random character and occurs with a specific likelihood. In lump sum contracts, on the other hand, such a random event has a fuzzy character and its occurrence is defined in a linear manner by the function of affiliation to the set of fuzzy events being identical with unforeseen events. The strive for quantitative presentation of criteria regarded by nature as qualitative and the intention to determine relations between them led to the application of the fuzzy sets theory to this issue. Their properties enable description of the unforeseen works of construction projects in an unambiguous, quantitative way.

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