Optimization Strategy for New Energy Consumption Based on Intuitionistic Fuzzy Rough Set Theory

Liu, Xinrui; Zhao, Xinying; Jin, Peng; Lu, Tianqi

doi:10.23919/ccc50068.2020.9189631

Cited by 5 publications

(3 citation statements)

References 1 publication

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“…𝜇 𝐴 (𝑥) and 𝜈 𝐴 (𝑥) denote the membership and non-membership degrees of 𝑥 to 𝐴, respectively. IFS research applications have been carried out in control, data analysis, and other human-centric problems [12,[28][29][30][31][32].…”

Section: Intuitionistic Fuzzy Setsmentioning

confidence: 99%

Analysis on the Hesitation and its Application to Decision Making

Yang,

Lee,

Kim

et al. 2024

Decis. Mak. Appl. Manag. Eng.

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A novel score function based on the Poincaré metric is proposed and applied to a decision-making problem. Decision-making on Fuzzy Sets (FSs) has been considered due to the flexibility of the data, and it is applied to the decision-making. However, decisions with FSs are sometimes nondecisive even for different membership degrees. Hence, Intuitionistic Fuzzy Sets (IFSs) data is applied to design a score function for the decision-making with the Poincaré metric. This function is supported by the profound information of IFSs; IFSs include hesitation degree together with membership and non-membership degree. Hence, IFS membership and non-membership degree are expressed as two-dimensional vectors satisfying the Poincaré metric for simplification. At the same time, the proposed approach addresses the hesitation information in the IFS data. Next, a score function is proposed, constructed and provided. The proposed score function has a strict monotonic property and addresses the preference without resorting to the accuracy function. The strict monotonic property guarantees the preference of all attributes. Additionally, the existing problem of score function design in IFSs is addressed: they return zero scores even with different meanings for the same membership and non-membership degree. The advantages of the proposed score function over existing ones are demonstrated through illustrative examples. From the calculation results, the proposed decision score function discriminates between all candidates. Hence, the proposed research provides a solid foundation for the hesitation analysis on the decision-making problem.

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Section: Intuitionistic Fuzzy Setsmentioning

confidence: 99%

Analysis on the Hesitation and its Application to Decision Making

Yang,

Lee,

Kim

et al. 2024

Decis. Mak. Appl. Manag. Eng.

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“…Rough sets were also used to analyse the functioning of renewable energy sources [56]. The authors analysed the wind farm operation and its cooperation with other systems.…”

Section: State-of-the-artmentioning

confidence: 99%

The Reliability and Exploitation Analysis Method of the ICT System Power Supply with the Use of Modelling Based on Rough Sets

et al. 2023

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The article describes a new approach to the reliability–exploitation analysis of the critical information and communications technology (ICT) system power supply. A classic approach based on statistical indicators and a new one founded on uncertainty modelling based on the rough set method is presented. The main advantage of the uncertainty modelling approach is the simplification of the calculations and the fact that, unlike statistical analysis, uncertainty modelling does not require complete information on the used data sets. An extensive study of world publications was carried out, proving that this is an entirely innovative approach to solving the problem of reliability and exploitation analysis. Calculations, analyses and syntheses are also exhibited in a specific example. A sample of the ICT system power supply was simulated, and the simulation results are shown. The simulations were prepared by one of the co-authors for the purposes of this article.

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“…In most studies in the literature on reliability [37][38][39][40][41], it is presented that one of the possibilities for assessing the reliability of complex technical facilities is the measurement of time parameters on the actual operation process. Important quantities measured include the average failure-free operation times or average times between failures [42][43][44][45].…”

Section: Introductionmentioning

confidence: 99%

Research on and Assessment of the Reliability of Railway Transport Systems with Induction Motors

Gubarevych,

Duer,

Melkonova

et al. 2023

Energies

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Increasing the efficiency and reliability of modern railway transport is accompanied by an increase in monitoring and diagnostic systems for the current state of electric drives. Modern railway transport contains a large number of induction motors to ensure the operation of the drives of various mechanisms. In the article, based on the operational statistics of engine failures and the proposed scheme for diagnosing them, studies were carried out and a model was developed for assessing the reliability of a transport system equipped with an on-board diagnostic system for the current state. When building the models, the Markov method was used, including the construction of graphs for the five most relevant states of the induction electric motor during operation. The results obtained are relevant for evaluating the effectiveness of using the built-in diagnostic system and scheduling routine maintenance, which will affect the efficiency of railway transport. Based on the process of the diagnosis of railway transport systems with induction motors, five operating states of the object studied were interpreted: the state of full operation, state “S0”; the state of incomplete serviceability, state “S1”; critical serviceability, state “S2”; the state of the pre-damage condition, state “S3”; the state of unserviceability (defect), state “S4”. Subsequently, a five-state model of the operation process of railway transport systems with induction motors was developed. This model is also described by equations of state: Kolmogorov–Chapman equations. The reliability quantities determined form the basis for simulation reliability studies. The effect of the simulation study is the reliability quantities determined in the form of reliability functions and probabilities of the occurrences of the operating states of railway transport systems with induction motors; an important part of the reliability study of the system examined is to estimate the times of the occurrences in the object studied of the operating states in the future.

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Optimization Strategy for New Energy Consumption Based on Intuitionistic Fuzzy Rough Set Theory

Cited by 5 publications

References 1 publication

Analysis on the Hesitation and its Application to Decision Making

Analysis on the Hesitation and its Application to Decision Making

The Reliability and Exploitation Analysis Method of the ICT System Power Supply with the Use of Modelling Based on Rough Sets

Research on and Assessment of the Reliability of Railway Transport Systems with Induction Motors

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