Therapeutic Schedule Evaluation for Brain-Metastasized Non-Small Cell Lung Cancer with A Probabilistic Linguistic ELECTRE II Method

Abstract

With the rapid development of modern medicine, therapeutic schedules of brain-metastasized non-small cell lung cancer (NSCLC) are expanding. To assist a patient who suffers from brain-metastasized NSCLC to select the most suitable therapeutic schedule, firstly, we establish an indicator system for evaluating the therapeutic schedules; then, we propose a probabilistic linguistic ELECTRE II method to handle the corresponding evaluation problem for the following reasons: (1) probabilistic linguistic information is effective to depict the uncertainty of the therapeutic process and the fuzziness of an expert’s cognition; (2) the ELECTRE II method can deal with evaluation indicators that do not meet a fully compensatory relationship. Simulation tests on the parameters in the proposed method are provided to discuss their impacts on the final rankings. Furthermore, we apply the proposed method to help a patient with brain-metastasized NSCLC at the Sichuan Cancer Hospital and Institute to choose the optimal therapeutic schedule, and we present some sensitive analyses and comparative analyses to demonstrate the stability and applicability of the proposed method.

Dynamic reference point method with probabilistic linguistic information based on the regret theory for public health emergency decision-making

“…The TOPSIS method (Pang et al, 2016) and the VIKOR method (Zhang & Xing, 2017) are two classical reference point-based methods which are widely applied to solve the decision-making problems. Pan et al (2018) extended the ELECTRE II method to probabilistic linguistic environment to deal with the therapeutic schedule evaluation problem. Based on the proposed differential evolution algorithm, the probabilistic linguistic PROMETHEE method is developed to evaluate the meteorological disaster risk (Yu et al, 2019).…”

Group Decisions with Linguistic Information: A Survey

“…For hesitant fuzzy linguistic information, Liao et al (2018a) proposed the score-deviation-based ELECTRE II method and the positive and negative ideal hesitant fuzzy linguistic elements-based ELECTRE II method. For probabilistic linguistic information, Pan et al (2018) investigated the ELECTRE II method and applied it to help a patient with brain-metastasized nonsmall cell lung cancer. The PROMETHEE method uses the preference function to determine the outranking relations between alternatives, and the decision results are obtained on the basis of the outgoing flow, the incoming flow, and the networking flow.…”

Comparison of Cash Crop Suitability Assessment Using Parametric, AHP, and FAHP Methods

“…Zhao et al (2018) used MCDM by integrating Fuzzy-Delphi, namely, the best-worst method (BWM), the entropy weight calculation approach, and the VIKOR method to investigate the performances of five selected provincial electricity grid corporations in China [14]. Interestingly, MCDM has been used in many medical studies; for example, Pan et al (2018) used the probabilistic linguistic ELECTREII method to evaluate the therapeutic schedule for brain-metastasized non-small cell lung cancer at Sichuan Cancer Hospital [15].…”