In the present paper a novel hybrid multi-criteria decision-making (MCDM) framework on intuitionistic fuzzy environment is proposed. For the intuitionistic fuzzy-MEREC-SWARA-CoCoSo method for ranking ...the selection of the topmost substitute in decision-making problems is developed. The objective weights are evaluated by MEREC approach, and subjective criteria weights are assessed using the SWARA approach further the CoCoSo method is used to rank the alternatives on intuitionistic fuzzy set. In recent times, the choice of appropriate plastic waste disposal technology is an immensely important challenge. It has an impact on both ecological and commercial growth of the nation. To deal with the situation, several authors have concentrated on selecting an essential plastic waste disposal technique using a decision-making process based on several IFS methodologies. Here, in this paper a methodology is the presented to identify the best technology for plastic waste disposal. A comparative discussion and analysis are presented to performance the rationality and consistency of the technique evolved to rank optimal plastic waste disposal options.
In the present paper a novel hybrid multi-criteria decision-making (MCDM) framework on intuitionistic fuzzy environment is proposed. For the intuitionistic fuzzy-MEREC-SWARA-CoCoSo method for ranking ...the selection of the topmost substitute in decision-making problems is developed. The objective weights are evaluated by MEREC approach, and subjective criteria weights are assessed using the SWARA approach further the CoCoSo method is used to rank the alternatives on intuitionistic fuzzy set. In recent times, the choice of appropriate plastic waste disposal technology is an immensely important challenge. It has an impact on both ecological and commercial growth of the nation. To deal with the situation, several authors have concentrated on selecting an essential plastic waste disposal technique using a decision-making process based on several IFS methodologies. Here, in this paper a methodology is the presented to identify the best technology for plastic waste disposal. A comparative discussion and analysis are presented to performance the rationality and consistency of the technique evolved to rank optimal plastic waste disposal options.
Here in this article, a hybrid MCDM method on the Pythagorean fuzzy-environment is presented. This method is based on the Pythagorean Fuzzy Method based on Removal Effects of Criterion (PF-MEREC) and ...Stepwise Weight Assessment Ratio Analysis (SWARA) approaches. Here, the objective and subjective weights are assessed by PF-MEREC, SWARA model and the preference order ranking of the various alternatives is done through Complex Proportional Assessment (COPRAS) framework on the Pythagorean fuzzy set (PFS). The proposed method is the hybrid model of MEREC, SWARA and COPRAS methods. Further, the proposed model is used to identify the best banking management software (BMS) so that the bank can choose the robust bank management software tool to enhance its efficiency and excellence. Thereafter, a comparative discussion and sensitivity analysis of the proposed model is done with the existing techniques to judge the reasonability and efficiency of the proposed model.
Increasing number of vehicles on the streets has made it very difficult to track every vehicle, which has resulted into exponential rise in violation of traffic rules. It is very difficult to ...manually keep track of all the vehicles and keep them in check. Due to human limitations, intelligent and smart monitoring has become a topic of discussion. For every vehicle to be acknowledged, number-plate detection is very necessary. However, many vehicles in a single image and varying lighting conditions present challenges to automatic number-plat recognition systems. Varying shapes and sizes of characters on number-plate presents additional difficulties in Indian context. To address these issues, this work proposes to employ inception version 3 (v3) model for classification of number plates form input images. The study then proposes to employ single shot detection (SSD), which is one of the best available architecture to detect multiple objects at once, resulting in faster and more accurate detection. At a later stage, each character in the number plate is recognized by Tesseract optical character recognition (OCR) engine. The experimental results presented in the study validates the effectiveness of the proposed work.
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