Rough Set Approach for Group Evacuation Behavior Analysis in Passenger Transport Hub Area | Zendy

Peng Chen | Zendy; Xiaofeng Ma | Zendy; Shunying Zhu | Zendy

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Rough Set Approach for Group Evacuation Behavior Analysis in Passenger Transport Hub Area

Author(s) -

Peng Chen,

Xiaofeng Ma,

Shunying Zhu

Publication year - 2014

Publication title -

discrete dynamics in nature and society

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.264

H-Index - 39

eISSN - 1607-887X

pISSN - 1026-0226

DOI - 10.1155/2014/682147

Subject(s) - rough set , computer science , set (abstract data type) , operations research , tabu search , reduction (mathematics) , group (periodic table) , artificial intelligence , data mining , mathematics , chemistry , geometry , organic chemistry , programming language

Evacuation behavior analysis is deemed to be one aspect of evacuation planning. However, existing studies have not discussed group evacuation decision-making in the face of disagreement among decision makers. In this paper, rough set theory is applied to analyze group evacuation decision-making in passenger transport hub area with various groups including kin, lover, friend, colleague, and classmate. In the approach, improved tabu search-based attribute reduction is proposed to find the minimal subset of attributes required to fully describe the information of group evacuation decision-making, and value reduction algorithm based on knowledge granulation is used to generate rules of group evacuation decision-making. Cross-validation procedure is adopted to estimate the performance of rough set theory. Experimental results indicate that rough set theory has favorable performance. Thus, the proposed approach provides a new way for evacuation behavior analysis

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