Interval-valued seminormed fuzzy operators based on admissible orders

Boczek, Michał; Jin, LeSheng; Kałuszka, Marek

doi:10.1016/j.ins.2021.05.065

Cited by 15 publications

(5 citation statements)

References 31 publications

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“…Using standard partial order ≤ Int or some further well defined linear orders [24] can make some comparisons that in general cannot be obtained even in UBUI environment.…”

Section: Definition 1 (I) (Unsymmetrical Basic Uncertain Information)mentioning

confidence: 99%

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Unsymmetrical basic uncertain information with some decision-making methods

Jin

Yager

Chen

et al. 2022

IFS

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Motivated by a specific decision-making situation, this work proposes the concept and definition of unsymmetrical basic uncertain information which is a further generalization of basic uncertain information and can model uncertainties in some new decision-making situations. We show that unsymmetrical basic uncertain information in some sense can model linguistic hedges such as “at least” and “at most”. Formative weighted arithmetic means and induced aggregations are defined for the proposed concept. Rules-based decision making and semi-copula based integral for this concept with some numerical examples are also presented.

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“…Using standard partial order ≤ Int or some further well defined linear orders [24] can make some comparisons that in general cannot be obtained even in UBUI environment.…”

Section: Definition 1 (I) (Unsymmetrical Basic Uncertain Information)mentioning

confidence: 99%

“…Recall a fuzzy measure (also known as capacity) [35] on set [24,35,36] with fuzzy measure μ defined on [n] and semi-copula…”

Section: Rules-based Decision Making and Semi-copula Based Integral I...mentioning

confidence: 99%

Unsymmetrical basic uncertain information with some decision-making methods

Jin

Yager

Chen

et al. 2022

IFS

Self Cite

View full text Add to dashboard Cite

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“…Increasing the number of trees in the city, as well as using appropriate building materials and facades to not store the energy of the sun's rays, can help reduce the occurrence of thermal islands [15]. A study, evaluated urban heat islands and thermal comfort in the city of Navida using space technology to study thermal islands and the factors in uencing their formation [16].…”

Section: -Introductionmentioning

confidence: 99%

Modeling and Evaluation of Effective Factors on thermal islands with an approach based on fuzzy systems: A case study of Tehran

Arandin

Arabi

Jahdi

2023

Preprint

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Urban heat islands are areas where the development of urbanization and human activities have significantly increased the temperature of the area compared to the surrounding areas. The main goal of this research was to provide a simple, developable and appropriate analytical model so that it can contribute to the better management of urban services by predicting the areas with the highest probability of heat islands and accurate analytical estimation of its factors. In this study, a fuzzy logic method has been used to determine the location of heat islands in Tehran. First, all the factors are identified, and then Their analysis was assigned to each of the weighted data, finally by writing the law of fuzzy comparison, the comparison between the layers, and the extracted layers are done. According to the modeling results, the presence of urban heat islands causes warming of 1.3°C in summer and 1.4°C in winter. Due to the presence and development of cities and urban heat islands, the average O3 pollutants have increased by about 0.5 ppb, the average NO2 pollutants by about 2 ppb, and CO by about 40 ppb. Finally, by considering the coefficient of these factors and comparing the data of the model, an accuracy of 78.6% was obtained. The final results showed that in regions 9, 10, 11, 17, and 18 and parts of region 21 of Tehran, the possibility of heat islands is very high.

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“…However, all of these works have been proposed to deal with numerical data. The use of other data representations, like intervals, have been proven popular to model the uncertainty linked to experimental observations or estimations, but it requires some additional challenges related to the lack of standard order in the framework of intervals [24]. An Interval-Valued Sugeno integral (IV-Sugeno) was proposed in [25], and some more general expressions encompassing both Choquet and Sugeno integral were given in [26].…”

Section: Introductionmentioning

confidence: 99%