A Choquet integral based fuzzy logic approach to solve uncertain multi-criteria decision making problem

Chen, Li; Dong, Gang; Wang, Suyun; Ma, Junfeng

doi:10.1016/j.eswa.2020.113303

Cited by 30 publications

(8 citation statements)

References 31 publications

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“…Although the final EOL strategy standards reached by the two are the same, the final data obtained are different. Compared with [23], the data with the method in this paper are more concise.…”

Section: Criteriamentioning

confidence: 99%

“…The basic definitions of the interval-valued Sugeno probability measure (see [23]) are provided below; R + denotes [0, ∞).…”

Section: Definition 2 ([25]) Consider Function Tmentioning

confidence: 99%

“…For data comparison, in Tables 1-5 and Tables 10-12 we use the data in [23], while Tables 6, 8 and 9 show the results obtained in this paper. Although the final EOL strategy standards reached by the two are the same, the final data obtained are different.…”

Section: Criteriamentioning

confidence: 99%

“…In 2016, a new aggregation-like function generalizing the Choquet integral was proposed in [22]. In 2020, Chen et al proposed the Choquet integral on the interval-valued Sugeno probability measure [23]. The discrete expression of the C T -integral on the interval-valued Sugeno probability measure is proposed in this paper and applied to solve multi-criteria decision-making problems in the context of determining EOL strategy.…”

Section: Introductionmentioning

confidence: 99%

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CT-Integral on Interval-Valued Sugeno Probability Measure and Its Application in Multi-Criteria Decision-Making Problems

Hong

Shang

Gong

2022

Axioms

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It is well known that the complexity of the decision-making environment frequently coexists with the diversity of linguistic information in the decision-making process. In order to solve this kind of uncertain multi-criteria decision-making problem, reasonable measures and integrals should be established. In this paper, the discrete expression of the CT-integral on the interval-valued Sugeno probability measure is proposed. The CT-integral is the Choquet integral when the t-norm is T(x,y)=xy in the CT-integral and is a pre-aggregation function. Then, the CT-integral on interval-valued Sugeno probability measure is applied to solve end-of-life (EOL) strategy in order to determine multi-criteria decision-making problems. Compared with the general Choquet integral, the method proposed in this paper significantly improves the calculation process, that is, the calculation is simpler and the amount of calculation is smaller. A case study was performed in order to validate the effectiveness of this conclusion.

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Section: Criteriamentioning

confidence: 99%

“…The basic definitions of the interval-valued Sugeno probability measure (see [23]) are provided below; R + denotes [0, ∞).…”

Section: Definition 2 ([25]) Consider Function Tmentioning

confidence: 99%

Section: Criteriamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

CT-Integral on Interval-Valued Sugeno Probability Measure and Its Application in Multi-Criteria Decision-Making Problems

Hong

Shang

Gong

2022

Axioms

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“…Its recent applications in the medical field and decision-related research include the forecasting of COVID-19 time series for countries, (36) assessment of the readiness for change of healthcare organizations, (37) infectious disease diagnosis, (38) disease diagnosis, (39) adaptive e-assessment, (40) and uncertain multi-criteria decision-making problems. (41)…”

Section: Fuzzy Logic Theory (Flt)mentioning

confidence: 99%

Evaluation of Intensified Colorectal Cancer Treatment Using Model Based on Delphi Method, Fuzzy Logic, and Analytical Hierarchy Process (DFAHP)

Wu¹,

Ke²,

Meen³

2021

Sensors and Materials

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Colorectal cancer is one of the major fatal diseases in Taiwan, and the age of patients is decreasing yearly. As the early symptoms of malignant intestinal swelling are not obvious, most patients are not diagnosed with colorectal cancer until they are in a serious condition, and early diagnosis of colorectal cancer is a major challenge. In addition to genetic factors, colorectal cancer is caused by stress and poor dietary habits. To improve the effectiveness of treatment, we propose a model for multi-attribute decision-making based on medical data by combining the Delphi method, fuzzy logic theory, and the analytical hierarchy process. In the hierarchical structure, key risk factors and their values are proposed using fuzzy logic theory. The model suggests the importance of the medical team, medical equipment, post-operative care, and other factors for treating colorectal cancer effectively. Treatment and appropriate care must be integrated in the overall medical process to improve the effectiveness of colorectal cancer treatment.

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Multi-criteria Evaluation of Rumor Refuting Platform’s Refuting Capacity with Hesitant Fuzzy Judgments

Zhao

Hajiyev

2021

Proceedings of the Fifteenth International Conference on Management Science and Engineering Management

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A Choquet integral based fuzzy logic approach to solve uncertain multi-criteria decision making problem

Cited by 30 publications

References 31 publications

CT-Integral on Interval-Valued Sugeno Probability Measure and Its Application in Multi-Criteria Decision-Making Problems

CT-Integral on Interval-Valued Sugeno Probability Measure and Its Application in Multi-Criteria Decision-Making Problems

Evaluation of Intensified Colorectal Cancer Treatment Using Model Based on Delphi Method, Fuzzy Logic, and Analytical Hierarchy Process (DFAHP)

Multi-criteria Evaluation of Rumor Refuting Platform’s Refuting Capacity with Hesitant Fuzzy Judgments

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