Design of Smart and Sustainable Applications Using Intelligent Computational Techniques

In all areas of government, several technological services have already been introduced. The use of electronic governance has many benefits, such as streamlining the administration of government services, increasing communication between government and non-government institutions, reducing corruption, identifying fraud, and making government services accessible 24/7. The four main pillars upon which electronic governance rests are the following: exchanges between the government and its citizens, businesses, employees, and other governments. The widespread use of these services is crucial to their success. As a result, a plethora of opportunities to evaluate and implement these services’ analyses become available. In this research, we look at the variables that could influence these services’ adoption rates. To do this, a questionnaire is developed using the elements that influence the adoption of E-Governance. To identify the weak components, survey data is processed using the fuzzy conjoint model. Additionally, the degree of satisfaction or dissatisfaction is used to score these aspects. This research shows that people aren't happy with how well E-Government services can identify fraud. As a result, E-Governance services must be enhanced to identify fraud by the government better. Electronic filing and clearance of exports and imports is one of the major E-Government applications of India's customs. In this era of automated customs clearance, the Indian customs agency has fallen victim to a number of scams, including those involving shipping bills, exporters, licensing, smuggling, falsified documents, and duty drawback fraud. A unique set of procedures exists for identifying various forms of fraud. Export drawback fraud is a big financial scam. Currently, there is no smart way to identify fraudulent export drawbacks. To achieve this, a model has been developed to detect potential export incentive/drawback fraud. Intuitionistic fuzzy sets and game theory are the basis of a two-tier fraud detection model that determines the sensitivity of export bills. To identify potential drawback frauds, a customs officer is given instructions for manually inspecting products based on their sensitivity.