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三次犹豫模糊集的骰子测度及其良性前列腺增生症状的初步评价方法。

The Dice measure of cubic hesitant fuzzy sets and its initial evaluation method of benign prostatic hyperplasia symptoms.

机构信息

Shaoxing Second Hospital, 123 Yanan Road, Shaoxing, Zhejiang, 312000, P. R. China.

Department of Electrical and Information Engineering, Shaoxing University, 508 Huancheng West Road, Shaoxing, Zhejiang, 312000, P. R. China.

出版信息

Sci Rep. 2019 Jan 11;9(1):60. doi: 10.1038/s41598-018-37228-9.

Abstract

In order to give the initial evaluation of benign prostatic hyperplasia (BPH) symptoms regarding a patient, physician usually performs the clinical inquiry of the patient, whereas his/her responses may contain hesitant fuzzy and uncertain information. However, existing evaluation/diagnosis approaches of BPH symptoms cannot cope with the hybrid problem of both hesitant and uncertain responses of patients. Furthermore, existing evaluation approaches may lose some useful responses (e.g. hesitant fuzzy information) so as to result in the unreasonable or indeterminate evaluation/diagnosis in the evaluation process of patients. To overcome this insufficiency, this study firstly introduces the concept of a cubic hesitant fuzzy set (CHFS) based on combining uncertain/interval-valued fuzzy information with hesitant fuzzy information so as to express the hybrid fuzzy information and proposes the Dice measure between CHFSs based on the extension method of the least common multiple cardinality/number (LCMC) for the hesitant fuzzy sets in CHFS. Then, the initial evaluation approach of BPH symptoms is developed by using the Dice measure of CHFSs. Lastly, the assessment results of six BPH patients are presented as the clinical actual cases to indicate the applicability and effectiveness of the developed assessment approach in CHFS setting. The comparison with existing common evaluation methods shows that the developed evaluation/diagnosis method is superior to the existing common evaluation methods in the evaluation/diagnosis process of the clinical actual cases.

摘要

为了对患者的良性前列腺增生 (BPH) 症状进行初步评估,医生通常会对患者进行临床询问,而患者的回答可能包含犹豫、模糊和不确定的信息。然而,现有的 BPH 症状评估/诊断方法无法应对患者的犹豫和不确定回答的混合问题。此外,现有的评估方法可能会丢失一些有用的回答(例如犹豫模糊信息),从而导致在患者评估过程中出现不合理或不确定的评估/诊断。为了克服这一不足,本研究首先基于将不确定/区间值模糊信息与犹豫模糊信息相结合,引入了立方犹豫模糊集 (CHFS) 的概念,以表达混合模糊信息,并基于最小公共倍数基数/数量 (LCMC) 的扩展方法提出了 CHFS 中犹豫模糊集的 CHFS 之间的 Dice 度量。然后,利用 CHFS 的 Dice 度量来开发 BPH 症状的初步评估方法。最后,通过六个 BPH 患者的评估结果作为临床实际案例,说明了在 CHFS 环境下开发的评估方法的适用性和有效性。与现有常用评估方法的比较表明,在临床实际案例的评估/诊断过程中,所开发的评估/诊断方法优于现有常用评估方法。

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