A Novel Approach to Model the Economic Characteristics of an Organization by Interval-Valued Complex Pythagorean Fuzzy Information

Yazbek, Hawraa Akram; Surriya, Fatima; Khan, Sami Ullah; Jan, Naeem; Marinkovic, Dragan

doi:10.47852/bonviewjcce2202249

Cited by 12 publications

(4 citation statements)

References 28 publications

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“…Then proceed to the next iteration loop. The emphasis is to enhance the receiving Archival reception criterion uses the energy of solutions on one hand and the dominant relation between solutions on the other hand to calculate the acceptance probability of all computed solutions and returns Pareto set [22]. Pareto solution set, the number of reserved solutions is set subjectively according to the needs of decision makers.…”

Section: R E T R a C T E D A R T I C L Ementioning

confidence: 99%

RETRACTED ARTICLE: Effectiveness of Mixed Fuzzy Time Window Multi-objective Allocation in E-Commerce Logistics Distribution Path

Peng

2023

Int J Comput Intell Syst

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The study of logistics distribution network under e-commerce environment is conducive to the establishment of efficient logistics distribution system, but also to promote the further development of e-commerce and improve social benefits of great significance. This study considers multiple fuzzy factors and introduces a customer fuzzy time window with variable coefficients, establishes a multi-objective set allocation integrated multi-level location path planning model, and proposes an archive type multi-objective simulated annealing improvement algorithm based on master–slave parallel framework embedded taboo search to solve the model. Tabu search and large-scale neighborhood algorithm are used to solve the initial solutions of the first level network and the second level network respectively, and archival reception criterion is introduced to deal with the multi-objective problem. The results of the proposed algorithm for the two-level site-routing problem are less than 6% different from the internationally known optimal solution. The master–slave parallel computing framework improves the efficiency of the algorithm by about 6.38%. The experimental results prove the effectiveness and necessity of the improved optimization. In addition, this study simulates the site-routing problem model constructed by the study by extending the data of standard examples. The experimental results prove the correctness and reference significance of the multilevel site-routing problem model with multiple fuzzy factors.

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Section: R E T R a C T E D A R T I C L Ementioning

confidence: 99%

RETRACTED ARTICLE: Effectiveness of Mixed Fuzzy Time Window Multi-objective Allocation in E-Commerce Logistics Distribution Path

Peng

2023

Int J Comput Intell Syst

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show abstract

“…In the upcoming times, we aim to employ the proposed work in the field of computer science, game theory, machine learning, artificial intelligence, clustering analysis, and decision-making (Saeed et al, 2023;Pérez-Canedo & Verdegay, 2023;Yazbek et al, 2023;Ullah, 2021;Akram et al, 2022) to enhance the worth of the invented theory.…”

Section: Discussionmentioning

confidence: 99%

Bonferroni Mean Operators Based on Interval-Valued Picture Hesitant Fuzzy Information and Their Application in Decision-Making Problems

Ali,

Mahmood

2023

JCCE

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In this article, we invent the Bonferroni mean (BM) operators using interval-valued picture hesitant fuzzy (IVPHF) technique, called IVPHF Bonferroni mean (IVPHFBM), IVPHF-weighted BM (IVPHFWBM), IVPHF geometric BM (IVPHFGBM), and IVPHF-weighted geometric BM (IVPHFWGBM) operators. These presented techniques are very beneficial and valuable because these are modified versions of many existing techniques. Moreover, we also examine three basic properties of each presented operator. In addition, we demonstrate the technique of multi-attribute decision-making (MADM) problem and try to describe it with the presence of evaluated techniques to show the capability and superiority of the invented theory. In last, we compare the prevailing techniques with presented studies to illustrate the supremacy and effectiveness of the derived approaches.

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“…The experimental dataset used in this study is the Iris dataset, which is widely used by scholars. This dataset contains a total of 150 sets of Iris data, including three different types, namely Virginia Iris, Varicolor Iris, and Setosa Mountain Iris, with 50 sets each [20]. This experiment will conduct simulation experiments on analog circuits based on the Iris dataset.…”

Section: Simulation Power Analysis Of Analog Circuitsmentioning

confidence: 99%

In-Memory Computing Integrated Structure Circuit Based on Nonvolatile Flash Memory Unit

et al. 2023

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Artificial intelligence has made people’s demands for computer computing efficiency increasingly high. The traditional hardware circuit simulation method for neural morphology computation has problems of unstable performance and excessive power consumption. This research will use non-volatile flash memory cells that are easy to read and write to build a convolutional neural network structure to improve the performance of neural morphological computing. In the experiment, floating-gate transistors were used to simulate neural network synapses to design core cross-array circuits. A voltage subtractor, voltage follower and ReLU activation function are designed based on a differential amplifier. An Iris dataset was introduced in this experiment to conduct simulation experiments on the research circuit. The IMC circuit designed for this experiment has high performance, with an accuracy rate of 96.2% and a recall rate of 60.2%. The overall current power consumption of the hardware circuit is small, and the current power consumption of the subtractor circuit and ReLU circuit does not exceed 100 µA, while the power consumption of the negative feedback circuit is about 440 mA. The accuracy of analog circuits under the IMC architecture is above 93%, the energy consumption is only about 360 nJ, and the recognition rate is about 12 μs. Compared with the classic von Neumann architecture, it reduces the circuit recognition rate and power consumption while meeting accuracy requirements.

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A Novel Approach to Model the Economic Characteristics of an Organization by Interval-Valued Complex Pythagorean Fuzzy Information

Cited by 12 publications

References 28 publications

RETRACTED ARTICLE: Effectiveness of Mixed Fuzzy Time Window Multi-objective Allocation in E-Commerce Logistics Distribution Path

RETRACTED ARTICLE: Effectiveness of Mixed Fuzzy Time Window Multi-objective Allocation in E-Commerce Logistics Distribution Path

Bonferroni Mean Operators Based on Interval-Valued Picture Hesitant Fuzzy Information and Their Application in Decision-Making Problems

In-Memory Computing Integrated Structure Circuit Based on Nonvolatile Flash Memory Unit

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