1(1), (2022):30-35 DOI: https://doi.org/10.46632/jdaai/1/1/5
D R. Pallavi, Prabakaran Nanjundan, Sathiyaraj Chinnasamy, Manjula Selvam
In this from analysis MOORA method is the most ideal solution Short-distance and negative-best The solution with the longest distance from the solution Determines, but the comparison of these distances Does not consider importance. From the result it is seen that Visual appearance is got Like the payment options, the first rank has the lowest ranking. At least two supercontinents – Rosina and Godwin – have proposed 1200-500 mass gap layer, geographic and light magnetic fields. Although Rosina’s exact structure is still debatable, Rosina’s demise is young. We evaluate the enhanced translucent magnetic database for Africa, which controls the super pale geography between these two continents, not published from South America Yours faithfully, Frame Recommended by Greenville Me so-cartons between South America and United Amazonia. Slip by comparing these two western cartoons for the support of Africans. The vertical complexity of multi-level management. Support for change theory in the UK in recent years and advocates of two theory-based approaches to realistic evaluation. In this article, we share our emerging ideas about interrelationships and diversionary approaches to the study of theoretical evaluation literature-based approaches and our practical experience. Emphasize the background context of the program environment for both approaches we provide in understanding how complex projects change outcomes. Many pioneers who used the literature of the past as pioneers, Evaluation Preference: Web flexibility dimensions, Quality of life, Transaction flexibility dimensions. Alternative forms have also been identified. The approach and process of mediating the effects of evaluation for underlying processes that are not adequately addressed. FIGURE 3 Evolution and Internet Malls Rank from the result it is seen that Visual appearance and is got the first rank whereas is the Payment options got is having the lowest rank.
Eng, Eugenia, and Edith Parker. “Measuring community competence in the Mississippi Delta: The interface between program evaluation and empowerment.” Health education quarterly 21, no. 2 (1994): 199-220.
Youd, T. Leslie, and Izzat M. Idriss. “Liquefaction resistance of soils: summary report from the 1996 NCEER and 1998 NCEER/NSF workshops on evaluation of liquefaction resistance of soils.” Journal of geotechnical and geoenvironmental engineering 127, no. 4 (2001): 297-313.
Tohver, Eric, Manoel S. D’Agrella-Filho, and Ricardo IF Trindade. “Paleomagnetic record of Africa and South America for the 1200–500 Ma interval, and evaluation of Rodinia and Gondwana assemblies.” Precambrian Research 147, no. 3-4 (2006): 193-222.
Stame, Nicoletta. “Theory-based evaluation and types of complexity.” Evaluation 10, no. 1 (2004): 58-76.
Blamey, Avril, and Mhairi Mackenzie. “Theories of change and realistic evaluation: peas in a pod or apples and oranges.” Evaluation 13, no. 4 (2007): 439-455.
Mark, Melvin M., and Gary T. Henry. “The mechanisms and outcomes of evaluation influence.” Evaluation 10, no. 1 (2004): 35-57.
Wilson, Kenneth J., Carl R. Illig, Nalin Subasinghe, James B. Hoffman, M. Jonathan Rudolph, Richard Soll, Christopher J. Molloy et al. “Synthesis of thiophene-2-carboxamidines containing 2-amino-thiazoles and their biological evaluation as urokinase inhibitors.” Bioorganic & medicinal chemistry letters 11, no. 7 (2001): 915-918.
Jones, Susan, Peter Mason, and Ronald Stamper. “LEGOL 2.0: A relational specification language for complex rules.” Information Systems 4, no. 4 (1979): 293-305.
Aranguren, Mari Jose, Edurne Magro, and James R. Wilson. “Regional competitiveness policy evaluation as a transformative process: From theory to practice.” Environment and Planning C: Politics and Space 35, no. 4 (2017): 703-720.
Hansen, Hanne Foss. “Choosing evaluation models: A discussion on evaluation design.” Evaluation 11, no. 4 (2005): 447-462.
Lindholm, Lars H., Mats Persson, Petar Alaupovic, B. O. Carlberg, Anders Svensson, and Ola Samuelsson. “Metabolic outcome during 1 year in newly detected hypertensives: results of the Antihypertensive Treatment and Lipid Profile in a North of Sweden Efficacy Evaluation (ALPINE study).” Journal of hypertension 21, no. 8 (2003): 1563-1574.
Leo, K., E. O. Göbel, T. C. Damen, J. Shah, S. Schmitt-Rink, W. Schäfer, J. F. Müller, K. Köhler, and P. Ganser. “Subpicosecond four-wave mixing in GaAs/Al x Ga 1− x as quantum wells.” Physical Review B 44, no. 11 (1991): 5726.
Federici, John F. “Review of four-wave mixing and phase conjugation in plasmas.” IEEE transactions on plasma science 19, no. 4 (1991): 549-564.
Pluye, Pierre, Marie-Pierre Gagnon, Frances Griffiths, and Janique Johnson-Lafleur. “A scoring system for appraising mixed methods research, and concomitantly appraising qualitative, quantitative and mixed methods primary studies in mixed studies reviews.” International journal of nursing studies 46, no. 4 (2009): 529-546.
Manzano, Ana. “The craft of interviewing in realist evaluation.” Evaluation 22, no. 3 (2016): 342-360.
Clerici, Francesca, Donato Pocar, Maddalena Guido, Antonella Loche, Vincenzo Perlini, and Mario Brufani. “Synthesis of 2-amino-5-sulfanyl-1, 3, 4-thiadiazole derivatives and evaluation of their antidepressant and anxiolytic activity.” Journal of medicinal chemistry 44, no. 6 (2001): 931-936.
Wong, Quincy JJ. “Psychometric evaluation of the English version of the Extended Post-Event Processing Questionnaire.” Anxiety, Stress, & Coping 28, no. 2 (2015): 215-225.
Ahn, Tony, Seewon Ryu, and Ingoo Han. “The impact of the online and offline features on the user acceptance of Internet shopping malls.” Electronic commerce research and applications 3, no. 4 (2004): 405-420.
Chung, In-Keun, and Myung-Moo Lee. “A study of influencing factors for repurchase intention in internet shopping malls.” In Proceedings International Parallel and Distributed Processing Symposium, pp. 7-pp. IEEE, 2003.
Kumar, Anil, and Manoj Kumar Dash. “Using fuzzy Delphi and generalized fuzzy TOPSIS to evaluate technological service flexibility dimensions of internet malls.” Global Journal of Flexible Systems Management 18, no. 2 (2017): 153-161.
Lee, D. H., Soung Hie Kim, and Byeong Seok Ahn. “A conjoint model for Internet shopping malls using customer’s purchasing data.” Expert systems with Applications 19, no. 1 (2000): 59-66.
Ahn, Hyung Jun, and Jong Woo Kim. “Feature reduction for product recommendation in internet shopping malls.” International journal of electronic business 4, no. 5 (2006): 432-444.
Jung, Chul-Ho, Young-Soo Chung, Tao Wang, and Shi-Guang Piao. “Factors Affecting User’s Repurchase Intention towards Chinese Internet Shopping Malls.” International Journal of Contents 6, no. 4 (2010): 62-68.
Lee, Jumin, Do‐Hyung Park, and Ingoo Han. “The different effects of online consumer reviews on consumers’ purchase intentions depending on trust in online shopping malls: An advertising perspective.” Internet research (2011).
Di Chang, Kai, Jiann Liang Chen, Han Chieh Chao, and Ching Wei Liu. “The Potential Cloud Application Model for Internet of Things-Case Study of Shopping Malls.” In 2014 Tenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, pp. 954-957. IEEE, 2014.
Kapoor, Nishant Raj, Ashok Kumar, Anuj Kumar, Anil Kumar, and Krishna Kumar. “Transmission Probability of SARS-CoV-2 in Office Environment Using Artificial Neural Network.” IEEE Access 10 (2022): 121204-121229.
Kumar Pandey, Rakesh, Anil Kumar, Ajay Mandal, and Behzad Vaferi. “Employing deep learning neural networks for characterizing dual-porosity reservoirs based on pressure transient tests.” Journal of Energy Resources Technology 144, no. 11 (2022): 113002.
Kumar, Anil, Rajabov Sherzod Umurzoqovich, Nguyen Duc Duong, Pratik Kanani, Arulmani Kuppusamy, M. Praneesh, and Minh Ngyen Hieu. “An intrusion identification and prevention for cloud computing: From the perspective of deep learning.” Optik 270 (2022): 170044.
Mansour, Romany F., Eatedal Alabdulkreem, Heba F. Eid, K. Sathishkumar, Mohd Abdul Rahim Khan, and Anil Kumar. “Fuzzy logic based on-line fault detection and classification method of substation equipment based on convolutional probabilistic neural network with discrete wavelet transform and fuzzy interference.” Optik 270 (2022): 169956.
Kumar Pandey, Rakesh, Shrey Aggarwal, Griesha Nath, Anil Kumar, and Behzad Vaferi. “Metaheuristic algorithm integrated neural networks for well-test analyses of petroleum reservoirs.” Scientific Reports 12, no. 1 (2022): 1-16.
Kumar, Anil, Saleh A. Alghamdi, Abolfazl Mehbodniya, Julian L. Webber, and Shavkatov Navruzbek Shavkatovich. “Smart power consumption management and alert system using IoT on big data.” Sustainable Energy Technologies and Assessments 53 (2022): 102555.
Revathy, G., Saleh A. Alghamdi, Sultan M. Alahmari, Saud R. Yonbawi, Anil Kumar, and Mohd Anul Haq. “Sentiment analysis using machine learning: Progress in the machine intelligence for data science.” Sustainable Energy Technologies and Assessments 53 (2022): 102557.
Sekar, K. R., Mohd AnulHaq, Anil Kumar, R. Shalini, and S. Poojalaxmi. “An improved ranking methodology for malignant carcinoma in multicriterian decision making using hesitant VIKOR fuzzy.” Theoretical Computer Science 929 (2022): 81-94.
Kumar, Anil, Julian L. Webber, Mohd Anul Haq, Kamal Kumar Gola, Pritpal Singh, Sathishkumar Karupusamy, and Malik Bader Alazzam. “Optimal cluster head selection for energy efficient wireless sensor network using hybrid competitive swarm optimization and harmony search algorithm.” Sustainable Energy Technologies and Assessments 52 (2022): 102243.
Kshirsagar, Pravin R., and Sudhir G. Akojwar. “Prediction of neurological disorders using optimized neural network.” In 2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), pp. 1695-1699. IEEE, 2016.
Kshirsagar, Pravin, Akshay Pote, K. K. Paliwal, Vaibhav Hendre, Pranav Chippalkatti, and Nikhil Dhabekar. “A review on IOT based health care monitoring system.” ICCCE 2019 (2020): 95-100.
Kshirsagar, Pravin R., Anil N. Rakhonde, and Pranav Chippalkatti. “MRI image based brain tumor detection using machine learning.” Test Engineering and Management 81 (2020): 3672-3680.
Akojwar, Sudhir G., and Pravin R. Kshirsagar. “Performance evolution of optimization techniques for mathematical benchmark functions.” International Journal of Computers 1 (2016).
Akojwar, Dr Sudhir, Pravin Kshirsagar, and Vijetalaxmi Pai. “Feature extraction of EEG signals using wavelet and principal component analysis.” In National Conference on Research Trends in Electronics, Computer Science & Information Technology and Doctoral Research Meet. 2014.
Kshirsagar, Pravin, and Dr Sudhir Akojwar. “Classification and Prediction of Epilepsy using FFBPNN with PSO.” In IEEE international conference on communication networks, vol. 17. 2015.
D R. Pallavi, Prabakaran Nanjundan, Sathiyaraj Chinnasamy, Manjula Selvam, “Grading of Internet Malls Using MOORA Method”, REST Journal on Data Analytics and Artificial Intelligence, 1(1), (2022):30-35