Journal of Intelligent & Fuzzy Systems - Volume 39, issue 5

Authors: Atmaca, S.

Article Type: Research Article

Abstract: In this manuscript, it is aimed to convert the topology on a set X which is on a nearness approximation space to new set families via indiscernibility relation. Then, if the open sets of the present topology are defined as the set of related elements, the set families, which have weakly related elements, will be obtained. Finally, the topological properties and concepts that these new families hold will be examined.

Keywords: Near set, near topology, topology

DOI: 10.3233/JIFS-191922

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 5, pp. 6849-6855, 2020

Authors: Adhikary, Krishnendu | Roy, Jagannath | Kar, Samarjit

Article Type: Research Article

Abstract: Due to increasing difficulty and challenging issues of newsboy problem under uncertainty, managers seek newer and appropriate approaches to apprehend more accurately the demand for perishable products and or the products having a short shelf life. This paper investigates a newsboy problem with fuzzy random demand in a single product business scenario. The classical newsboy model is extended to a fuzzy random newsboy problem to determine the optimal order quantity and expected profit under hybrid uncertainty. To solve the proposed model, a new solution approach based on chance constraint programming is proposed to formulate the crisp equivalent form of the …fuzzy random newsboy model. Numerical examples and a real-life case study are presented to show the utility of the projected model. From the outcomes, decision makers can make comprehensive recommendations for the optimal order quantity and expected profit obtained by our proposed model under two-folded uncertainty. Also, a sensitivity analysis suggests that the profit and order quantity will increase (or decrease) with the increase (or decrease) of the mean demand. Show more

Keywords: Newsboy problem, uncertain demand, fuzzy random variable, expected value model

DOI: 10.3233/JIFS-192057

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 5, pp. 6857-6868, 2020

Authors: Alsulami, S. H. | Ibedou, Ismail | Abbas, S. E.

Article Type: Research Article

Abstract: In this paper, we join the notion of fuzzy ideal to the notion of fuzzy approximation space to define the notion of fuzzy ideal approximation spaces. We introduce the fuzzy ideal approximation interior operator int Φ λ and the fuzzy ideal approximation closure operator cl Φ λ , and moreover, we define the fuzzy ideal approximation preinterior operator p int Φ λ and the fuzzy ideal approximation preclosure operator p cl Φ λ with respect …to that fuzzy ideal defined on the fuzzy approximation space (X , R ) associated with some fuzzy set λ  ∈ I X . Also, we define fuzzy separation axioms, fuzzy connectedness and fuzzy compactness in fuzzy approximation spaces and in fuzzy ideal approximation spaces as well, and prove the implications in between. Show more

Keywords: Fuzzy rough set, Fuzzy ideal approximation space, Fuzzy separation axioms, Fuzzy connectedness, Fuzzy compactness, 03E72, 03E02, 54C10, 03E20, 54D05, 54D10, 54D30)

DOI: 10.3233/JIFS-192072

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 5, pp. 6869-6880, 2020

Authors: Wang, Jie | Yan, Linhuang | Tian, Jiayi | Yuan, Minmin

Article Type: Research Article

Abstract: In this paper, a bilateral spectrogram filtering (BSF)-based optimally modified log-spectral amplitude (OMLSA) estimator for single-channel speech enhancement is proposed, which can significantly improve the performance of OMLSA, especially in highly non-stationary noise environments, by taking advantage of bilateral filtering (BF), a widely used technology in image and visual processing, to preprocess the spectrogram of the noisy speech. BSF is capable of not only sharpening details, removing unwanted textures or background noise from the noisy speech spectrogram, but also preserving edges when considering a speech spectrogram as an image. The a posteriori signal-to-noise ratio (SNR) of OMLSA algorithm is …estimated after applying BSF to the noisy speech. Besides, in order to reduce computing costs, a fast and accurate BF is adopted to reduce the algorithm complexity O (1) for each time-frequency bin. Finally, the proposed algorithm is compared with the original OMLSA and other classic denoising methods using various types of noise with different signal-to-noise ratios in terms of objective evaluation metrics such as segmental signal-to-noise ratio improvement and perceptual evaluation of speech quality. The results show the validity of the improved BSF-based OMLSA algorithm. Show more

Keywords: Speech enhancement, bilateral filtering, optimally modified log-spectral amplitude, bilateral spectrogram filtering, spectrogram

DOI: 10.3233/JIFS-192088

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 5, pp. 6881-6889, 2020

Authors: Oketch, Godrick | Karaman, Filiz

Article Type: Research Article

Abstract: Count data models are based on definite counts of events as dependent variables. But there are practical situations in which these counts may fail to be specific and are seen as imprecise. In this paper, an assumption that heaped data points are fuzzy is used as a way of identifying counts that are not definite since heaping can result from imprecisely reported counts. Because it is practically unlikely to report all counts in an entire dataset as imprecise, this paper proposes a likelihood function that not only considers both precise and imprecisely reported counts but also incorporates α  - cuts …of fuzzy numbers with the aim of varying impreciseness of fuzzy reported counts. The proposed model is then illustrated through a smoking cessation study data that attempts to identify factors associated with the number of cigarettes smoked in a month. Through the real data illustration and a simulation study, it is shown that the proposed model performs better in predicting the outcome counts especially when the imprecision of the fuzzy points in a dataset are increased. The results also show that inclusion of α  - cuts makes it possible to identify better models, a feature that was not previously possible. Show more

Keywords: Fuzzy α - cuts, fuzzy count data, fuzzy likelihood function, fuzzy probability, heaped data, poisson regression

DOI: 10.3233/JIFS-192094

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 5, pp. 6891-6901, 2020

Authors: Riaz, Muhammad | Hamid, Muhammad Tahir | Athar Farid, Hafiz Muhammad | Afzal, Deeba

Article Type: Research Article

Abstract: In this article, we study some concepts related to q-rung orthopair fuzzy soft sets (q-ROFSSs) together with their algebraic structure. We present operations on q-ROFSSs and their specific properties and elaborate them with real-life examples and tabular representations to develop an influx of linguistic variables based on q-rung orthopair fuzzy soft (q-ROFS) information. We present an application of q-ROFSSs to multi-criteria group decision-making (MCGDM) process related to the university choice, accompanied by algorithm and flowchart. We develop q-ROFS TOPSIS method and q-ROFS VIKOR method as extensions of TOPSIS (a technique for ordering preference through the ideal solution) and VIKOR (Vlse …Kriterijumska Optimizacija Kompromisno Resenje), respectively. Finally, we tackle a problem of construction utilizing q-ROFS TOPSIS and q-ROFS VIKOR methods. Show more

Keywords: q-ROFNs, TOPSIS, aggregation operators, VIKOR, soft sets

DOI: 10.3233/JIFS-192175

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 5, pp. 6903-6917, 2020

Authors: Guo, Xingru | Liu, Aijun | Li, Xia | Liu, Taoning

Article Type: Research Article

Abstract: Rh-negative rare blood inventory protection plays an important role in emergency blood protection. Normally, hospitals typically hold a fixed amount of daily reserve in response to emergency needs, but the measure can increase the unnecessary cost of repeated freezing and thawing. In order to save manpower, protect blood resources and reduce costs, a two-stage stochastic model is proposed to determine the optimal daily reserve of Rh-negative red blood cells, taking into account the uncertainty of demand. First, the model focuses on minimizing operational cost, shortage cost and damage caused by blood substitution. Then, the proposed model generates a series of …discrete scenarios to solve the uncertainty of demand and predict the demand. In addition, a case study is presented to prove the validity of the proposed model with real data. Sensitivity analysis is also established to observe the effect of parameter changes on the results. Finally, the results show that the proposed model can effectively reduce the cost and current waste. Show more

Keywords: Rh-negative, red blood cells, inventory management, stochastic demand, two-stage stochastic model

DOI: 10.3233/JIFS-192182

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 5, pp. 6919-6933, 2020

Authors: Lee, Chang-Yong

Article Type: Research Article

Abstract: Under a flexible mass-production system, a manufacturer may need to provide highly customized products to meet customer satisfaction. It is likely that components in a customized product are correlated in such a way that the demands of some components depend on those of others. In order to cope with dependence in the demands, we proposed a continuous review multi-item inventory (Q , r ) model that included a general form of correlation and dependence in demands among components. We represented the proposed model by using a probabilistic graphical model under the assumption that the demands of all components and their …correlations were represented by a multivariate Gaussian probability distribution. By taking an advantage of a directed acyclic graph and its topological order, we demonstrated that the correlated demands among components in the proposed model could be solved without any approximation and assumption. As an illustration of the proposed method, we solved an inventory (Q , r ) model of eight correlated components and discussed the experimental results in terms of correlation and dependence in demand. Show more

Keywords: Inventory, continuous review multi-item inventory, directed acyclic graph, topological order, correlation and dependence

DOI: 10.3233/JIFS-200014

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 5, pp. 6935-6947, 2020

Authors: Barlak, Damla

Article Type: Research Article

Abstract: In this study, we introduce the concepts of φ λ ,μ -double statistically convergence of order β in fuzzy sequences and strongly λ - double Cesaro summable of order β for sequences of fuzzy numbers. Also we give some inclusion theorems.

Keywords: Statistical convergence, Cesàro summability, Modulus function, 40A05, 40A25, 40A30, 40C05, 03E72

DOI: 10.3233/JIFS-200039

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 5, pp. 6949-6954, 2020

Authors: Zhang, Nian | Han, Yunpeng | Si, Quanshen | Wei, Guiwu

Article Type: Research Article

Abstract: To consider the decision makers’ regret behavior and describe the hybrid evolution information in the risk decision-making problem, a new approach is proposed based on regret theory in this paper. Firstly, the probable value of different states are calculated by Pignistic probability transformation method. Secondly, the relative closeness formula of hybrid information are established and the utility values of alternatives are computed. Then, decision makers’ utility values are obtained according to the regret theory. Moreover, the overall perceived utility values of alternatives are obtained by weighted arithmetic mean and got the optimal one by the ranking order. Finally, an numerical …example is illustrated the method and comparative analysis are offered between the proposed approach and other existed methods to show that is feasible and usable. Show more

Keywords: Regret theory, hybrid information, multi-attribute risk decision-making

DOI: 10.3233/JIFS-200081

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 5, pp. 6955-6964, 2020