@Article{EE.2022.014877,
AUTHOR = {Xuchang Hu},
TITLE = {Fuzzy-TOPSIS Evaluation of Power Product-Service System: A Framework Driven by Big Data},
JOURNAL = {Energy Engineering},
VOLUME = {119},
YEAR = {2022},
NUMBER = {1},
PAGES = {301--314},
URL = {http://www.techscience.com/energy/v119n1/45646},
ISSN = {1546-0118},
ABSTRACT = {Power product-service system (power PSS), which combines industrial electric products with electric energy services, is an effective solution for power enterprises under the background of the rapid development of power systems. In the life cycle of power PSS, evaluation decision of power PSS alternatives is of great significance for subsequent implementation. To address the power PSS alternative evaluation problem, a power PSS evaluation framework is explored driven by the big data of stakeholder comments. Based on the multi-stakeholder comments of power PSS evaluation decision’s influence factors, the index system is constructed through analyzing and summarizing the co-occurrence matrix and semantic network diagram of high-frequency words. To determine the fuzzy index value of power PSS alternative, the stakeholders’ vague opinions expressed by trapezoidal fuzzy number are integrated by group decision method. Fuzzy concept is introduced into the classical Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method and fuzzy-TOPSIS method is put forward by using the fuzzy index value. The improved TOPSIS is adopted to sequence the power PSS alternatives. The case of power PSS evaluation of six alternatives for a power enterprise shows that the explored framework is effective and can provide a feasible solution for power PSS alternative evaluation.},
DOI = {10.32604/EE.2022.014877}
}