A Hesitant Probabilistic Fuzzy Multi-Criteria Group Decision-Making Framework for Urban Land Consolidation in China

Urban land consolidation (ULC) is a technique used globally for urbanization planning. Selecting a suitable area for ULC becomes the most feasible plan for urban redevelopment in China, which can be regarded as a complex multi-criteria group decision-making problem. In this article, a hesitant probabilistic fuzzy multi-criteria group decision-making framework is proposed to solve the site selection problem of ULC. In the framework, hesitant probabilistic fuzzy set are used to represent the evaluation information provided by decision makers. Furthermore, the framework utilizes a new method based on entropy and the analytic hierarchy process for determining weights. The hesitant probabilistic fuzzy combined weighted logarithmic averaging distance (HPFCWLAD) measure is then introduced for sorting the alternatives found by the system. To validate the proposed framework, a site selection case of ULC including five alternatives in Hangzhou is investigated. The effectiveness and stability of the framework is proved through a comparative analysis.