ASSESSING THE PERFORMANCE OF LOCAL GOVERNMENT IN ONDO STATE NIGERIA: A CAPITAL BUDGETING APPROACH
Published In: 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL SCIENCE, ECONOMICS AND MANAGEMENT STUDY
Author(s): OLURANKINSE FELIX
Abstract: Local governments in Ondo State Nigeria are the third tier of government saddled with the responsibility of providing governance and economic services at the grassroots. To be able to do this, the Constitution of the Federal Republic of Nigeria provided that a proportion of Federation Account be allocated to them in addition to their internally generated revenue. From the allocation and other incidental sources of revenue, the local governments are expected to provide basic infrastructures and other social amenities to better the lots of the rural dwellers. Nevertheless, local governments’ performances in terms of provision of social amenities are without questioning and quite not encouraging. Assessing the performance of local governments in this period of dearth and scarcity of resources is highly indispensable more so that the activities of local governments’ staff are bedeviled and characterized with fraud, corruption and mismanagement. Considering the direct impact of the conseque
- Publication Date: 17-Nov-2014
- DOI: 10.15224/978-1-63248-052-1-136
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INTERVAL TYPE-2 FUZZY LOGIC SYSTEMS FOR CO2 EMISSIONS FORECASTING: A PERFORMANCE COMPARISON
Published In: 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN BIO-INFORMATICS, BIO-TECHNOLOGY AND ENVIRONMENTAL ENGINEERING
Author(s): HERRINI MOHD PAUZI , LAZIM ABDULLAH
Abstract: This paper presents an application of fuzzy logic systems to forecast carbon dioxide (CO2) emissions. Interval type-2 TSK fuzzy logic system and Interval type-2 Mamdani fuzzy logic system were employed using a set of secondary data. Data of CO2 emissions in Malaysia and its related causal variables were collected over the period of 1971-2011. Six variables were considered as inputs to the models. Performances of the models were compared using error analysis. The analysis shows that CO2 emissions forecasting based on interval type-2 TSK fuzzy logic system is more reliable compared to Mamdani fuzzy logic system.
- Publication Date: 17-Nov-2014
- DOI: 10.15224/978-1-63248-053-8-01
- Views: 0
- Downloads: 0