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Secondly, a new improved HF-TOPSIS method based on the overall situation and these new concepts are put forward, in which the positive and negative ideal solutions are fixed to calculate the complex hesitant fuzzy decision process. The proposed method in this paper achieves the purpose of compression of the complex hesitant fuzzy information, and the calculation is relatively simple and easy to operate. Finally, two examples are presented to test and verify the credibility and effectiveness of the TOPSIS-Based rank preservation approach, which can achieve the consistency of results before and after evaluation, as well as ensuring rank preservation, while other HF-TOPSIS methods may cause rank reversal problems.<\/jats:p>","DOI":"10.3233\/jifs-230713","type":"journal-article","created":{"date-parts":[[2023,6,27]],"date-time":"2023-06-27T11:38:56Z","timestamp":1687865936000},"page":"4249-4260","source":"Crossref","is-referenced-by-count":0,"title":["An improved TOPSIS-based rank preservation approach for hesitant fuzzy information processing"],"prefix":"10.1177","volume":"45","author":[{"given":"Wenguang","family":"Yang","sequence":"first","affiliation":[{"name":"College of Science, North China Institute of Science and Technology, Langfang, China"}]},{"given":"Baitong","family":"Ren","sequence":"additional","affiliation":[{"name":"College of Science, North China Institute of Science and Technology, Langfang, China"}]},{"given":"Bingbing","family":"Xu","sequence":"additional","affiliation":[{"name":"College of Science, North China Institute of Science and Technology, Langfang, China"}]},{"given":"Xiaona","family":"Pang","sequence":"additional","affiliation":[{"name":"College of Science, North China Institute of Science and Technology, Langfang, China"}]},{"given":"Ruitian","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Science, North China Institute of Science and Technology, Langfang, China"}]}],"member":"179","reference":[{"key":"10.3233\/JIFS-230713_ref1","doi-asserted-by":"crossref","unstructured":"Torra V. and Narukawa Y. , On hesitant fuzzy sets and decision, The 18th IEEE International Conference on Fuzzy Systems, Jeju Island, Korea, (2009), 1378\u20131382.","DOI":"10.1109\/FUZZY.2009.5276884"},{"key":"10.3233\/JIFS-230713_ref2","first-page":"529","article-title":"Hesitant fuzzy sets","volume":"25","author":"Torra","year":"2010","journal-title":"International Journal of Intelligent Systems"},{"key":"10.3233\/JIFS-230713_ref3","first-page":"1","article-title":"Dual Hesitant Fuzzy Sets","author":"Zhu","year":"2012","journal-title":"Journal of Applied Mathematics"},{"key":"10.3233\/JIFS-230713_ref4","doi-asserted-by":"crossref","first-page":"528","DOI":"10.1016\/j.knosys.2012.09.009","article-title":"Interval-valued hesitant preferencerelations and their applications to group decision making","volume":"37","author":"Chen","year":"2013","journal-title":"Knowledge-Based Systems"},{"key":"10.3233\/JIFS-230713_ref5","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.ins.2013.04.006","article-title":"A group decision making model dealing with comparative linguistic expressions based on hesitant fuzzy linguistic term sets","volume":"241","author":"Rodriguez","year":"2013","journal-title":"Information Sciences"},{"key":"10.3233\/JIFS-230713_ref6","doi-asserted-by":"crossref","unstructured":"Hwang C.L. and Yoon K. , Multiple attribute decision making: methods and applications, Springer, Berlin, Heidelberg, 1981.","DOI":"10.1007\/978-3-642-48318-9"},{"key":"10.3233\/JIFS-230713_ref7","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/j.knosys.2013.05.011","article-title":"Hesitant fuzzy multi-attribute decision making based on TOPSIS with incomplete weight information","volume":"52","author":"Xu","year":"2013","journal-title":"Knowledge-Based Systems"},{"key":"10.3233\/JIFS-230713_ref8","unstructured":"Opricovic S. , Multicriteria Optimization of Civil Engineering Systems. 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