Bio: Hong-ling Xu is an academic researcher from Northeast Forestry University. The author has contributed to research in topics: Analytic network process & Environmental economics. The author has co-authored 1 publications.
TL;DR: Zhang et al. as discussed by the authors integrated a consistent linguistic fuzzy preference relations-based analytic network process (CLFPR-based ANP) and a fuzzy technique for order performance by similarity to ideal solution (TOPSIS), and empirically analyzed homestay performance in Zhejiang.
Abstract: Given the high importance of the performance of rural homestays to the local economy, this study aims to fill the gap in homestay performance research and make rural homestays more competitive and sustainable after the coronavirus disease epidemic (COVID-19). Integrating a consistent linguistic fuzzy preference relations-based analytic network process (CLFPR-based ANP) and a fuzzy technique for order performance by similarity to ideal solution (TOPSIS), this study constructs a comprehensive evaluation model of the performance of rural homestays and empirically analyzes homestay performance in Zhejiang. The results show the following: (1) Among the criteria’s weights by CLFPR-based ANP, homestay operation and management, service quality, and homestay geist and community co-prosperity should be given much more attention; the importance of factors regarding the environment and building of rural homestays is gradually weakening. (2) In light of ranking alternatives based on performance evaluation by fuzzy TOPSIS, the homestay with the optimal performance has been found, which practitioners can use as a benchmark. Therefore, the priorities of these criteria further deepen the understanding of the performance of rural homestays and underline the development direction for practitioners. Simultaneously, in terms of feasibility and reliability, the integrated approach comprises a beneficial attempt and becomes an effective evaluation tool for practitioners to improve effectiveness.
••29 Nov 2010
TL;DR: In this paper, an EPC project risk evaluation model is constructed based on ANP (Analytic Network Process) -Fuzzy Comprehensive Evaluation to evaluate the integrated risk level and hypermatrix is utilized to compute and determine the weight of all the indexes.
Abstract: In order to assess and analyze the importance of the elements which have a significant impact on the risk, analytic network process is applied to establish the network structure model of risk evaluation index system for EPC project. And hypermatrix is utilized to compute and determine the weight of all the indexes. An EPC project risk evaluation model is constructed based on ANP (Analytic Network Process) -Fuzzy Comprehensive Evaluation to evaluate the integrated risk level. Validity of such EPC project risk evaluation model would be proved by a demonstration case analysis with help of Super Decision software. Results are shown at the last part of this paper.
TL;DR: In this paper , a hybrid multi-criteria decision-making scheme was proposed to determine the best-matched green roof formation for metropolitan city of Istanbul, where fuzzy AHP and TOPSIS were adopted for weighting a total of 16 criteria and performing binary prioritization of intensive GRs and extensive GRs, respectively.