## Rapid Visual Screening  
The demand for a fast, reliable, and computationally easy screening method for seismic vulnerability was first identified in the United States in 1988 proposed by the Federal Emergency Management Agency (FEMA) as \"Rapid Visual Screening of Buildings for Potential Seismic Hazards: A Handbook\". In 2002, the technological advancements due to the research generated from the seismic activities since 1990 had been incorporated in the revision proposed in 2002 edition [4; 16]. RVS is carried out by performing a visual inspection of damaged structures during a street survey without accessing any structure, approximately needing 15-30 min for each building. The procedure mainly involves collecting structural and nonstructural attributes of the building. A structural score can be calculated (without any structural calculations) based on the data collected. This score shall compute the presumed damage level of the structure and the requirement for any further detailed evaluation [16; 17; 18; 19].  
The common RVS methodologies adopted by various countries across the globe including [4; 20] RVS by USA (FEMA), Greek method by Earthquake Planning and Protection Organization (OASP), Rapid Evaluation method by New Zealand Society of Earthquake Engineering (NZSEE), Indian approach based on FEMA 154 developed by IIT Kanpur, RVS by Canada developed by National Research Council (NRC), Japanese method developed by Japanese Building Disaster Prevention Association (JBDPA) [21], Turkish method developed by the Structural Engineering Research Unit (TERU), and the Italian method by the National Earthquake Defense Group (GNDT) [22].  
FEMA proposed the first RVS manual in 1988, which was revised in 2002, by incorporating technological advancements of the time. The latest revision published in 2015 was named as FEMA P-154 [20]. The Greek Method (OASP) developed in 2000, classifies buildings into 18 structural types based on primary lateral load resisting system and structural material. Once an initial score is obtained, it shall be modified using modifiers, which gives a basic hazard score. Further, performance modifiers are used to obtain the final score. The proposed method by NZSEE [23] in 1996 refers to damage ratio instead of damage state probability. Eventually, the Canadian RVS developed by NRC in 1993 [24] gives a Seismic Priority Index (SPI), the addition of Structural Index and Non-structural Index. An SPI value that exceeds 20 shall be categorized as High priority building. Moreover, some new rapid seismic hazard assessment methods have been carried out by implementing the machine learning techniques such as multilayer perceptron [25; 26] and support vector machine [27] or used soft computing techniques such as type-2 fuzzy logic [28]. However, some of the proposed methods are data-dependent. Therefore, a method based on MCDM proposed in this paper is more robust and applicable in different seismic regions. There are some difficulties for investigators to handle paper forms and do complicated calculations on-site that require a digitized method for better investigation and documentation. Some methods are proposed based on the web [29; 30] and smartphone app [31; 32; 33].