Flood is a natural disaster induced by climate change that resulted in the losses of lives, damages to property, and disrupts the daily activities of local community. Thus, the flood mitigation measures are developed to reduce the impact of flood in our country. The aim of this paper is; to propose IF-DEMATEL method and deal with the uncertainty of input data set of flood mitigation measures, and to validate it using sensitivity analysis. Here, this method is used for flood mitigation measures comprise drainage improvements, barriers, wet flood proofing, dry flood proofing, elevation, relocation, and acquisition. A numerical example from the flood control project selection proposed by a researcher which was adopted to show the applicability of the proposed method. The result shows that the flood mitigation measures are placed based on their priority. Although the rank of flood mitigation measures is sensitive to changes based on the weight of criteria but the best measures is remaining unchanged.

Flooding is a big issue of widespread concern. Flood control project selection is needed to overcome the flooding phenomenon while achieving other objectives such as decreases the global burden of morbidity, mortality, social and economic disruptions, and stress on health services. Hence, the preferences of Decision Makers (DMs) from diverse backgrounds are needed to obtain the best project. However, flood control project selection faced high levels of conflict. Therefore, we propose a new equitable linguistic scale that provides an inclusive evaluation from integrating DMs' preferences and opinions. Besides, we also propose a hybrid averaging approach of linear orders; consists of typereduction method, ambiguity method and (Elimination and Choice Expressing Reality) ELECTRE-based non-outranked method by the new linguistic scales for Interval Type-2 Fuzzy Technique for Order Preference by Similarity to Ideal Solution (IT2FTOPSIS) method. An actual case experiment to evaluate seven different flood control projects is carried out in Malaysia based on the evaluation from the Department of Drainage of Irrigation agencies. The result shows that Dikes (levees/embankment)/Channel improvement/Diversion schemes are the best flood control project. Besides, this proposed IT2FTOPSIS can offer a measure of the DMs' opinions and preferences. Correlation values have also proved that this proposed IT2FTOPSIS in line with the DMs' decision compared to existing IT2FTOPSIS.

Abstract. The aim of this paper is to investigate the existing tourist trend arrival in Sabah based on fuzzy approach. It focuses on the latest 12 years (2002 -2013) visitors arrival based on their nationality for forecasting purposes. Based on Sabah Tourism Board's data, the tourist arrival continue to grow annually but with an inconsistent number of arrival. This can be seen from the trend of tourist arrival from 2011 to 2012. There is an increase in the number of arrival but only at 1.1 % compared to the other years which are in the rank of 10 -18% increase in number of arrival per year. Therefore, the purpose of this study is to predict the number of tourist arrival to Sabah. The study employs the modification of Fuzzy Delphi Method (FDM) and utilizes the flexibility of triangular fuzzy numbers (TFNs) as well as fuzzy averaging to deal with the yearly inconsistency numbers of visitor's arrival. Then, the trio levels of alpha (Į)-cut was used via linguistic variables to assess the confidence of decision made and to overcome the uncertainty of the input data sets. The analysis was carried out using fully data sets obtained from the official website of Sabah tourism board. Results show that our proposed forecasting approach offers a new dimension technique as compared to the traditional statistical method. It also derived more confident decision and precision forecast for Sabah tourism authority planning purposes.

The distribution of zakat to the asnaf is able to improve the living standards of the asnaf, especially from the social, economic, educational, and economic angles. In addition, it can also help elevate the Islamic teachings and enhance the dignity of the ummah. Therefore, the main goal of this study is to examine the practise of zakat distribution to asnaf in Sabah. This study uses a mix method (mix methods), which is a qualitative method and a hierarchical process of analysis based on linguistic fence (PHA). To obtain preliminary information, semi-structured interviews were conducted with five informants, consisting of top management and officers of the Zakat and Fitrah Divisions of the Sabah Islamic Religious Council. Data from the interviews was analysed using a linguistic fence-based analysis (PHA) hierarchical process to determine the decision making weights for an attribute in the evaluation process. Two forms of linguistic fencing, namely concentration and dilation, were used to measure the relative importance of weights for each of the criteria studied. There are five steps used in decision making using the PHA method, namely defining the question, creating a hierarchical structure, generating a paired matrix, normalising the data, calculating the vector eigenvalues, and testing the consistency of the data. To test the applicability of the proposal method, an empirical example of a study proposal to select asnaf eligible to receive zakat has been shown in this paper. The findings show that this approach is very suitable and efficient as a tool to solve the problem of decision making of various criteria in the distribution of zakat. Therefore, it can help decision makers (PK) make their decisions in a simpler and more systematic way.

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