科研之友
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摘要
Industrial heritage associated with political, economic, cultural, social, scientific, technological, and architectural fields has been a crucial concern to nations and governments, since it reveals the way our ancestors lived, records technical progress and realizes cultural continuity. Thus, conserving and reusing industrial heritage is a vital decision-making issue. Studies on multiple criteria provide a series of methods to assist; however, they confuse uncertain with unknown, whilst most of them are not applicable due to uncertain reasoning. Here, an evaluation system of the value of industrial heritage is built using the analytic hierarchy process (AHP) and fuzzy sets used for translating comments from experts. Then, we present the Dempster-Shafer theory (D-S theory) to classify industrial heritage based on an evaluation system of the value of industrial heritage. Taking industry type, year, development process, immediate surroundings, and remains into consideration, we select 16 industrial heritage sites as samples to verify the feasibility of D-S theory. The results suggest that D-S theory is effective in fusing evidences, and that the mass function is reliable for confirming conservation levels. The integration of AHP, D-S theory and fuzzy theory establishes a mathematical model that targets information fusing and reduces the uncertainty of evaluations, providing a new approach for confirming the level of heritage conservation.
