Recommendations on designing practical interval type-2 fuzzy systems

Wu, Dongrui; Mendel, Jerry M.

doi:10.1016/j.engappai.2019.06.012

Cited by 113 publications

(39 citation statements)

References 56 publications

(99 reference statements)

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“…IT2 fuzzy sets mainly consider trapezoidal membership function. In this framework, it is mainly aimed to minimize uncertainty occurred in the classical fuzzy sets [22][23]. Alpha cuts are considered in the fuzzy systems-based decision-making analysis with the aim of solving the problem more effectively and appropriately [27].…”

Section: A Proposed Methodsmentioning

confidence: 99%

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Analyzing the Investments Strategies for Renewable Energies Based on Multi-Criteria Decision Model

Zhong

Yüksel

et al. 2020

IEEE Access

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The purpose of this study is to determine appropriate innovative strategies for the renewable energy investments. For this purpose, a hybrid multi-criteria decision-making (MCDM) model is proposed based on interval type-2 (IT2) fuzzy sets and alpha cut levels. Within this context, hesitant IT2 fuzzy DEMATEL-Based Analytic Network Process (DANP) with alpha cut levels is applied for weighting the customer requirements. Moreover, hesitant IT2 fuzzy technique for order preference by similarity to ideal solution (TOPSIS) with alpha cut levels is used for ranking the TRIZ-based strategies priorities of renewable energy investments based on house of quality technique. These strategies are also ranked with hesitant IT2 fuzzy Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) approach to make a comparative evaluation. The results illustrate that ease of access and security are among the most prominent factors of customer requirements for renewable energy investments. It is also identified that innovative technical requirement entitled cushion in advance has the best choice for the sustainable renewable energy projects. Furthermore, the results of proposed model using hesitant IT2 fuzzy DANP and hesitant IT2 fuzzy TOPSIS are identical for the different levels of alpha cut. In addition, it is also defined that the results of hesitant IT2 fuzzy TOPSIS and hesitant IT2 fuzzy VIKOR are quite coherent. This is a clear evidence that the proposed model is coherent and could provide comprehensive results for the future studies. It is strongly recommended that a detailed analysis is required to identify the risks in renewable energy investment projects. Hence, necessary actions can be taken appropriately so that it can be possible to prevent problems before they grow.

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Section: A Proposed Methodsmentioning

confidence: 99%

“…The fifth step includes the identification of the network relation map by considering the equations (21)- (23).…”

Section: Appendix C -Alpha Level Setsmentioning

confidence: 99%

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Analyzing the Investments Strategies for Renewable Energies Based on Multi-Criteria Decision Model

Zhong

Yüksel

et al. 2020

IEEE Access

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“…where K represents the sample range; ) (k Y denotes the weight sequence of the output, which is obtained by sorting the rule consequents of the rule base in increasing order; y l and y r represent the left and right boundaries of the reduced fuzzy set, respectively; and L and R are estimated according to the KM algorithm [34]. The detailed process is described in [16] and [34].…”

Section: ) Type-reductionmentioning

confidence: 99%

An Unequal Clustering Algorithm for Wireless Sensor Networks Based on Interval Type-2 TSK Fuzzy Logic Theory

2020

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Clustering is an effective method for reducing energy consumption in wireless sensor networks (WSNs). In a multihop clustered network scenario, each sensor node transmits data to its own cluster head (CH), and the CH aggregates the data from its member nodes and forwards it to the base station (BS) via other CHs. However, the "hot spot" problem is prone to occur in clustered WSNs because CHs closer to the BS have heavier intercluster forwarding tasks. To address this problem, this paper proposes an unequal clustering algorithm based on interval type-2 TSK fuzzy logic theory (UCT2TSK). The relative distance to the BS (RDB), residual energy (RE), and node density (ND) are considered as the inputs of an interval type-2 fuzzy logic system (FLS). Through fuzzy reasoning, outputs are acquired that can be used to optimize the CHs and determine the cluster sizes. Simulation results verify that UCT2TSK can effectively balance energy consumption and enhance energy efficiency because it has better performance in network lifetime and network throughput than other classical and recent clustering algorithms.

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“…Generally, there is no restriction on the number of MFs one could use; however, it is practically recommended to use less than 7 MFs in each input domain of a type-1 or type-2 fuzzy system to reduce computational cost, reduce number of rules, and make interpreting more straightforward [46]. The common MF shapes in type-2 are Gaussian, bell-shaped and piecewise linear.…”

Section: Rvs Modeling Based On Interval Type-2 Fuzzy Systemmentioning

confidence: 99%

Improved Rapid Visual Earthquake Hazard Safety Evaluation of Existing Buildings Using a Type-2 Fuzzy Logic Model

Harirchian

Lahmer

2020

Applied Sciences

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Rapid Visual Screening (RVS) is a procedure that estimates structural scores for buildings and prioritizes their retrofit and upgrade requirements. Despite the speed and simplicity of RVS, many of the collected parameters are non-commensurable and include subjectivity due to visual observations. This might cause uncertainties in the evaluation, which emphasizes the use of a fuzzy-based method. This study aims to propose a novel RVS methodology based on the interval type-2 fuzzy logic system (IT2FLS) to set the priority of vulnerable building to undergo detailed assessment while covering uncertainties and minimizing their effects during evaluation. The proposed method estimates the vulnerability of a building, in terms of Damage Index, considering the number of stories, age of building, plan irregularity, vertical irregularity, building quality, and peak ground velocity, as inputs with a single output variable. Applicability of the proposed method has been investigated using a post-earthquake damage database of reinforced concrete buildings from the Bingöl and Düzce earthquakes in Turkey.

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Recommendations on designing practical interval type-2 fuzzy systems

Cited by 113 publications

References 56 publications

Analyzing the Investments Strategies for Renewable Energies Based on Multi-Criteria Decision Model

Analyzing the Investments Strategies for Renewable Energies Based on Multi-Criteria Decision Model

An Unequal Clustering Algorithm for Wireless Sensor Networks Based on Interval Type-2 TSK Fuzzy Logic Theory

Improved Rapid Visual Earthquake Hazard Safety Evaluation of Existing Buildings Using a Type-2 Fuzzy Logic Model

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