8 Result(s)
within
Gwo-Hshiung Tzeng
Data Mining and Knowledge Discovery
Database Management
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Chapter and Conference Paper
Arrow Decision Logic for Relational Information Systems
In this paper, we propose an arrow decision logic (ADL) for relational information systems (RIS). The logic combines the main features of decision logic (DL) and arrow logic (AL). DL represents and reasons abo...
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Chapter and Conference Paper
Using Rough Set Theory to Induce Pavement Maintenance and Rehabilitation Strategy
Rough Set Theory (RST) is an induction based decision-making technique, which can extract useful information from attribute-value (decision) table. This study introduces RST into pavement management system (PM...
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Chapter and Conference Paper
Computing Approximations of Dominance-Based Rough Sets by Bit-Vector Encodings
This paper introduces a mechanism for computing approximations of Dominance-Based Rough Sets (DBRS) by bit-vector encodings. DBRS was introduced by Greco et al. as an extension of Pawlak’s classical rough sets...
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Chapter and Conference Paper
Dominance-Based Rough Sets Using Indexed Blocks as Granules
Dominance-based rough set introduced by Greco et al. is an extension of Pawlak’s classical rough set theory by using dominance relations in place of equivalence relations for approximating sets of preference o...
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Chapter and Conference Paper
Business Aviation Decision-Making Using Rough Sets
Business aviation has been popular in the United States, Europe, and South America, however, top economies in East Asia, including Japan, Korea, and Taiwan, have been more conservative and lag behind in the de...
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Chapter and Conference Paper
Bit-Vector Representation of Dominance-Based Approximation Space
Dominance-based Rough Set Approach (DRSA) introduced by Greco et al. is an extension of Pawlak’s classical rough set theory by using dominance relations in place of equivalence relations for approximating sets...
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Chapter and Conference Paper
Factor Analysis as the Feature Selection Method in an Emotion Norm Database
Few studies have focused on integrating affective computing and soft computing technique for human physiology signals recognition in digital content learning system. This study develops a human affective norm ...
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Chapter and Conference Paper
Knowledge Supported Refinements for Rough Granular Computing: A Case of Life Insurance Industry
Dominance-based rough set approach (DRSA) has been adopted in solving various multiple criteria classification problems with positive outcomes; its advantage in exploring imprecise and vague patterns is especi...
