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    Chapter and Conference Paper

    Stable Rules Evaluation for a Rough-Set-Based Bipolar Model: A Preliminary Study for Credit Loan Evaluation

    The modern business environment is full of uncertain and imprecise circumstances that require decision makers (DMs) to conduct informed and circumspect decisions. In this regard, rough set theory (RST) has bee...

    Kao-Yi Shen, Hiroshi Sakai, Gwo-Hshiung Tzeng in Rough Sets (2017)

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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...

    Kao-Yi Shen, Gwo-Hshiung Tzeng in Rough Sets, Fuzzy Sets, Data Mining, and G… (2015)

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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 ...

    Chih-Hung Wu, Bor-Chen Kuo in Intelligent Information and Database Syste… (2014)

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    Chapter and Conference Paper

    Using DRSA and Fuzzy Measure to Enlighten Policy Making for Enhancing National Competitiveness by WCY 2011

    The fuzzy measure of competitiveness criteria can be used to enlighten policy making for enhancing national competitiveness. However, fuzzy densities and interactions among criteria are usually unknown or unce...

    Yu-Chien Ko, Hamido Fujita in Advanced Research in Applied Artificial In… (2012)

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    Chapter and Conference Paper

    Using the DEMATEL Based Network Process and Structural Equation Modeling Methods for Deriving Factors Influencing the Acceptance of Smart Phone Operation Systems

    Smartphones have emerged as one of the most important consumer-electronic products during the past years. Therefore, researches on factors influencing consumers’ behavior and thus, repurchase intention toward ...

    Chi-Yo Huang, Ming-Jenn Wu, Yu-Wei Liu in Advanced Research in Applied Artificial In… (2012)

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    Chapter and Conference Paper

    Evaluating Top Information Technology Firms in Standard and Poor’s 500 Index by Using a Multiple Objective Programming Based Data Envelopment Analysis

    Information technology (IT) is defined as the obtainment, procedure, storage and propagation of sounding, drawing, and textual information by combining microelectronics-based computing and telecommunications. ...

    Chi-Yo Huang, Po-Yen Wang, Gwo-Hshiung Tzeng in Advanced Research in Applied Artificial In… (2012)

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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...

    Chien-Chung Chan, Gwo-Hshiung Tzeng in Transactions on Rough Sets XIII (2011)

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    Chapter and Conference Paper

    The Impact of Recommendation Sources on the Adoption Intention of Microblogging Based on Dominance-based Rough Set Approach

    Microblogging is a social media tool that allows users to write short text messages to public and private networks. This research focuses specifically on the microblogging on Facebook. The main purposes of thi...

    Yang-Chieh Chin, Chaio-Chen Chang in Rough Sets and Current Trends in Computing (2010)

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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...

    Chien-Chung Chan, Gwo-Hshiung Tzeng in Rough Sets and Current Trends in Computing (2008)

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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...

    Chien-Chung Chan, Gwo-Hshiung Tzeng in Rough Sets and Knowledge Technology (2008)

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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...

    Yu-** Ou Yang, How-Ming Shieh in Rough Sets and Current Trends in Computing (2008)

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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...

    Jia-Ruey Chang, Ching-Tsung Hung, Gwo-Hshiung Tzeng in Rough Sets and Knowledge Technology (2007)

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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...

    Tuan-Fang Fan, Duen-Ren Liu, Gwo-Hshiung Tzeng in Transactions on Rough Sets V (2006)

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    Chapter and Conference Paper

    Arrow Decision Logic

    In this paper, we propose arrow decision logic (ADL), which combines the main features of decision logic and arrow logic. Decision logic represents and reasons about knowledge extracted from decision tables ba...

    Tuan-Fang Fan, Duen-Ren Liu in Rough Sets, Fuzzy Sets, Data Mining, and G… (2005)

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    Chapter and Conference Paper

    Simplifying the Manager Competency Model by Using the Rough Set Approach

    It is now a leading company strategy to apply competency models for identifying and develo** capabilities of their managers. However, a competency model usually contains too many intended competencies to be ...

    Wei-Wen Wu, Yu-Ting Lee, Gwo-Hshiung Tzeng in Rough Sets, Fuzzy Sets, Data Mining, and G… (2005)

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    Chapter and Conference Paper

    Using Rough Set Theory for Detecting the Interaction Terms in a Generalized Logit Model

    Although logit model has been a popular statistical tool for classification problems it is hard to determine interaction terms in the logit model because of the NP-hard problem in searching all sample space. In t...

    Chorng-Shyong Ong, Jih-Jeng Huang in Rough Sets and Current Trends in Computing (2004)