Journal of Intelligent & Fuzzy Systems - Volume 40, issue 1

Authors: Singh, Lovepreet | Huang, He | Bordoloi, Sanandam | Garg, Ankit | Jiang, Mingjie

Article Type: Research Article

Abstract: Images of green infrastructure (gardens, green corridor, green roofs and grasslands) large area can be captured and processed to provide spatial and temporal variation in colours of plant leaves. This may indicate average variation in plant growth over large urban landscape (community gardens, green corridor etc). Towards this direction, this short technical note explores development of a simple automated machine learning program that can accurately segregate colors from plant leaves. In this newly developed program, a machine learning algorithm has been modified and adapted to give the proportion of different colors present in a leaf. Python script is developed for …an image processing. For validation, experiments are conducted in green house to grow Axonopus compressus . Script first extracts different RGB (Red Green and Blue) colors present in the leaf using the K-means clustering algorithm. Appropriate centroids required for the clusters of leaf colors are formed by the K-means algorithm. The new program provides saves computation time and gives output in form of different colors proportion as a CSV (Comma-Separated Values) file. This study is the first step towards the demonstration of using automated programs for the segregation of colors from the leaf in order to access the growth of the plant in an urban landscape. Show more

Keywords: Color segregation, K-means algorithm, automation, cluster analysis, python script

DOI: 10.3233/JIFS-201542

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 1, pp. 1219-1243, 2021

Authors: Wang, Siqi | Wei, Guiwu | Wu, Jiang | Wei, Cun | Guo, Yanfeng

Article Type: Research Article

Abstract: Probabilistic linguistic term sets are used to express uncertain decision information in multiple attribute group decision making problems. For probabilistic linguistic multiple attribute group decision making (MAGDM) with weight determined by CRITIC (Criteria Importance Through Intercriteria Correlation) method, the probabilistic linguistic grey relational projection method is proposed in this paper. Firstly, the correlation coefficient among attributes and standard deviation of each attribute are utilized to compute the attributes weights. Then the most ideal alternative is decided by means of counting the grey relational projection (GRP) from probabilistic linguistic positive ideal solution and probabilistic linguistic negative ideal solution. In the end, …a numerical example for site selection of hospital constructions is applied to further account for the extended method. The result demonstrates the availability of the proposed method and it can be used in other fields which refers to problems of selection. Show more

Keywords: Multiple attribute group decision making; probabilistic linguistic term sets, CRITIC method, grey relational projection method, site selection of hospital constructions

DOI: 10.3233/JIFS-201543

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 1, pp. 1245-1259, 2021

Authors: Sameri, E. | Borzooei, R.A.

Article Type: Research Article

Abstract: In this paper, we generalize the concept of extended order algebras in order to get a new algebraic structure called “extended implicative groupoid”. First, we define the notions of pre-weak extended, weak extended, right extended and left extended implicative groupoid. Then we introduce the concept of extended implicative groupoid by using these notions. In addition, the special properties of these structures, such as the existence of MacNeille completion and adjoint product are studied. Finally, we prove that the class of symmetrical associative complete distributive extended implicative groupoids, coincides with complete residuated lattices.

Keywords: Extended order algebra, extended implicative groupoid, MacNeille completion, residuated lattice, 06F99, 18B40

DOI: 10.3233/JIFS-201575

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 1, pp. 1261-1275, 2021

Authors: Jin, Zhen-yu | Yan, Cong-hua

Article Type: Research Article

Abstract: Motivated by the concept of lattice-bornological vector spaces of J. Paseka, S. Solovyov and M. Stehlík, which extends bornological vector spaces to the fuzzy setting over a complete lattice, this paper continues to study the theory of L -bornological vector spaces. The specific description of L -bornological vector spaces is presented, some properties of Lowen functors between the category of bornological vector spaces and the category of L -bornological vector spaces are discussed. In addition, the notions and some properties of L -Mackey convergence and separation in L -bornological vector spaces are showed. The equivalent characterization of separation in L …-bornological vector spaces in terms of L -Mackey convergence is obtained in particular. Show more

Keywords: L-bornological vector spaces, L-Mackey convergence, Separation, The product L-bornological vector spaces, The quotient L-bornological vector spaces

DOI: 10.3233/JIFS-201599

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 1, pp. 1277-1285, 2021

Authors: Akram, Muhammad | Naz, Sumera | Shahzadi, Sundas | Ziaa, Faiza

Article Type: Research Article

Abstract:  q -Rung orthopair fuzzy sets (q-ROFSs), originally proposed by Yager, can powerfully modify the range of indication of decision information by changing a parameter q based on the different hesitation degree, and the dual hesitant q-rung orthopair fuzzy set (DHq-ROFS), a new technique to consider human’s hesitance, can be more substantial of dealing with real multi-attribute decision making (MADM) problems. Inspired by DHq-ROFSs, in this article, we extend the concept of q-rung orthopair fuzzy graphs to dual hesitant q-rung orthopair fuzzy context and introduce the innovative concept of a dual hesitant q -rung orthopair fuzzy graphs based on Hamacher …operator called dual hesitant q -rung orthopair fuzzy Hamacher graphs (DHq-ROFHGs). We propose the new concepts of geometric-arithmetic energy and atom bond connectivity energy of a DHq-ROFHG and determine its upper and lower bounds. Moreover, on the basis of the proposed concept of DHq-ROFHGs, we introduce a new approach to solve the MADM problems with dual hesitant q-rung orthopair fuzzy information. At the end, we give a numerical model related to the selection of most significant defensive factor to illustrate the applicability of the developed approach, and exhibit its viability. Comparative analysis is conducted and the superiorities are illustrated. Show more

Keywords: Dual hesitant q-rung orthopair fuzzy graph, Hamacher operator, Geometric-arithmetic energy, Atom bond connectivity energy, Multi-attribute decision making

DOI: 10.3233/JIFS-201605

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 1, pp. 1287-1307, 2021

Authors: Saqib, Muhammad | Akram, Muhammad | Bashir, Shahida | Allahviranloo, Tofigh

Article Type: Research Article

Abstract: Differential equations occur in many fields of science, engineering and social science as it is a natural way of modeling uncertain dynamical systems. A bipolar fuzzy set model is useful mathematical tool for addressing uncertainty which is an extension of fuzzy set model. In this paper, we study differential equations in bipolar fuzzy environment. We introduce the concept gH -derivative of bipolar fuzzy valued function. We present some properties of gH -differentiability of bipolar fuzzy valued function by considering different types of differentiability. We consider bipolar fuzzy Taylor expansion. By using Taylor expansion, Euler method is presented for solving bipolar …fuzzy initial value problems. We discuss convergence analysis of proposed method. We describe some numerical examples to see the convergence and stability of the method and compute global truncation error. From numerical results, we see that for small step size Euler method converges to exact solution. Show more

Keywords: Generalized Hukuhara derivative, Bipolar Fuzzy Taylor expansion, bipolar fuzzy initial value problem, Euler method method, convergence analysis, 34A07

DOI: 10.3233/JIFS-201619

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 1, pp. 1309-1341, 2021

Authors: Mahboob, Aamir | Rashid, Tabasam

Article Type: Research Article

Abstract:  In this paper, a multistage decision-making problem concerning uncertainty and ambiguity is discussed using Pythagorean fuzzy sets. Complement Pythagorean fuzzy membership grades and their properties are also considered. Using the definition of an alpha-level set, we introduce the multistage decision-making problems, where the possibility theory and satisfaction grades are declared with the help of Pythagorean membership grades. Pythagorean multistage decision-making is an uncertain theory, where decision-maker has only one opportunity to choose the scenario under the combination of Pythagorean possibility and satisfaction grades at each stage. According to the selection of criteria, a series of decision points are concluded. The …payoff collaborates with these decision points at each stage. The multistage decision-making using Pythagorean fuzzy sets is the scenario-based theory in place of other theories like lottery-based theory etc. The results have been calculated using multistage Pythagorean fuzzy sets in which the decision-maker has only one chance to select the optimal solution. The TOPSIS technique has been applied and the comparison between these two techniques is highlighted. Show more

Keywords: Pythagorean fuzzy sets, Dynamic Programming, Multistage decision making, TOPSIS

DOI: 10.3233/JIFS-201661

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 1, pp. 1343-1356, 2021

Authors: Xu, Junxiang | Guo, Jingni | Zhang, Jin | Sun, Yongdong | Liu, Weihua | Ma, Hui

Article Type: Retraction

Abstract: This article has been retracted, and the online PDF has been watermarked “RETRACTED”. The retraction notice is available at http://doi.org/10.3233/IFS-219216 .

DOI: 10.3233/JIFS-201693

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 1, pp. 1357-1366, 2021

Authors: Akram, Muhammad | Alsulami, Samirah | Karaaslan, Faruk | Khan, Ayesha

Article Type: Research Article

Abstract: A q-rung orthopair fuzzy set (q -ROFS) is more practical and powerful than intuitionistic fuzzy set (IFS) and Pythagorean fuzzy set (PFS) to model uncertainty in various decision-making problems. In this research article, we introduce the notion of q -rung orthopair fuzzy Hamacher graphs (q -ROFHGs). We utilize the Hamacher operators because they are flexible and parameterized in decision making. We determine the energy of q -ROFHGs as well as the energy of splitting and shadow q -ROFHGs. In addition, we propose the Randić energy of q -ROFHG and its some substantial results. Further, we present the idea of q …-rung orthopair fuzzy Hamacher digraphs (q -ROFHDGs). We solve a decision-making numerical example related to the selection of best housing society for investment by calculating the energy and Randić energy of q -ROFHDGs and an algorithm to exhibit the applicability of the presented concepts in decision making. Finally, we present the conclusion. Show more

Keywords: q-rung orthopair fuzzy Hamacher graphs, Energy, Splitting graph, Shadow graph, Randić energy

DOI: 10.3233/JIFS-201700

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 1, pp. 1367-1390, 2021

Authors: Chen, Dan | Yang, Xiangfeng

Article Type: Research Article

Abstract: The objective of uncertain time series analysis is to explore the relationship between the imprecise observation data over time and to predict future values, where these data are uncertain variables in the sense of uncertainty theory. In this paper, the method of maximum likelihood is used to estimate the unknown parameters in the uncertain autoregressive model, and the unknown parameters of uncertainty distributions of the disturbance terms are simultaneously obtained. Based on the fitted autoregressive model, the forecast value and confidence interval of the future data are derived. Besides, the mean squared error is proposed to measure the goodness of …fit among different estimation methods, and an algorithm is introduced. Finally, the comparative analysis of the least squares, least absolute deviations, and maximum likelihood estimations are given, and two examples are presented to verify the feasibility of this approach. Show more

Keywords: Uncertain variable, autoregressive model, maximum likelihood estimation, mean squared error

DOI: 10.3233/JIFS-201724

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 1, pp. 1391-1399, 2021