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.

Highlights

  • In order to give the initial evaluation/diagnosis of a patient’s disease and symptoms, physician usually carries out the clinical inquiry of the patient, whereas the responses of the patient may contain fuzzy information due to his/ her uncertainty and vagueness

  • Regarding the hybrid form of both interval-valued fuzzy information and hesitant fuzzy information, a cubic hesitant fuzzy set (CHFS) is very fit for the expression of the hybrid information

  • This study firstly proposed the Dice measure of CHFSs based on the least common multiple cardinality/number (LCMC) extension method for hesitant fuzzy sets (HFSs) in CHFSs

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Summary

Totally scoring value BPH symptom

Suppose that the clinical inquiries and answers of t BPH patients are obtained by Table 3, we can transform both uncertain ranges and hesitant values into the form of CHFEs.

Actual evaluation cases of BPH symptoms
Hesitant value
Conclusions
Additional Information
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