A5056962614- Multi-Criteria Decision Making
- Color perception and design
- Multisensory perception and integration
- Text and Document Classification Technologies
- Scheduling and Optimization Algorithms
- Resource-Constrained Project Scheduling
- Sustainable Supply Chain Management
- Optimization and Mathematical Programming
- Web Data Mining and Analysis
- Fuzzy Systems and Optimization
- Cognitive Science and Mapping
- Rough Sets and Fuzzy Logic
- Natural Language Processing Techniques
- Data Management and Algorithms
- Color Science and Applications
- Municipal Solid Waste Management
- ERP Systems Implementation and Impact
- Recycling and Waste Management Techniques
- Transportation Planning and Optimization
- Construction Project Management and Performance
- Semantic Web and Ontologies
- Sensory Analysis and Statistical Methods
- Manufacturing Process and Optimization
- Design Education and Practice
- Quality Function Deployment in Product Design
Monash University
2015-2024
National Taiwan University
2024
National Taiwan Normal University
2024
National Sun Yat-sen University
2024
National Cheng Kung University
2007-2022
Australian Regenerative Medicine Institute
2003-2021
Feng Chia University
2014-2017
London School of Economics and Political Science
2012
Chang Jung Christian University
2010
Yuan Ze University
2002
Purpose The paper aims to examine how trust interacts with factors affecting interorganizational knowledge sharing in green supply chains, where cooperation and competition coexist. Design/methodology/approach A new research model is developed which comprises nine constructs 13 hypotheses, as a mediating construct. are measured by well‐supported measures the literature. hypotheses tested on data collected from 288 major manufacturing firms Taiwan, using structural equation modeling. Findings...
Different multi‐attribute decision‐making (MADM) methods often produce different outcomes for selecting or ranking a set of decision alternatives involving multiple attributes. This paper presents new approach to the selection compensatory MADM specific cardinal problem via sensitivity analysis attribute weights. In line with context‐dependent concept informational importance, examines consistency degree between relative individual attributes using an method and influence corresponding...
A model of machine learning in engineering design is presented based on the concept self‐adjustment internal control parameters and perceptron. perceptron defined as a four‐tuple entity which can answer either “yes” or “no” problem domain. The structural cast form that be described by without hidden units. Some results from our experimentation are tabular form. paper concluded comparison explanation‐based learning.
Multiattribute decision making (MADM) uses a normalization procedure to transform performance ratings with different data measurement units in matrix into compatible unit. MADM methods generally use one particular without justifying its suitability. The technique for order preference by similarity ideal solution (TOPSIS) is of the most popular and widely applied methods. This study compares four commonly known procedures terms their ranking consistency weight sensitivity when used TOPSIS...
Most existing object detection models are restricted to detecting objects from previously seen categories, an approach that tends become infeasible for rare or novel concepts. Accordingly, in this paper, we explore the context of zero-shot learning, i.e., Zero-Shot Object Detection (ZSD), concurrently recognize and localize Existing ZSD algorithms typically based on a strict mapping-transfer strategy suffers significant visual-semantic gap. To bridge gap, propose Semantics-Preserving Graph...
Fashion Compatibility Modeling (FCM) is a new yet challenging task, which aims to automatically access the matching degree among set of complementary items. Most existing methods evaluate fashion compatibility from common perspective, but overlook user's personal preference. Inspired by this, few pioneers study Personalized (PFCM). Despite their significance, these PFCM mainly concentrate on user and item entities, as well interactions, ignore attribute contain rich semantics. To address...
Personalized outfit recommendation, which aims to recommend the outfits a given user according his/her preference, has gained increasing research attention due its economic value. Nevertheless, majority of existing methods mainly focus on improving recommendation effectiveness, while overlooking efficiency. Inspired by this, we devise novel bi-directional heterogeneous graph hashing scheme, called BiHGH, towards efficient personalized recommendation. In particular, this scheme consists three...
Selecting scholarship students from a number of competing candidates is complex decision making process, in which multiple selection criteria have to be considered simultaneously. Multiattribute (MADM) has proven an effective approach for ranking or selecting one more alternatives finite with respect multiple, usually conflicting criteria. This paper formulates the student process as MADM problem, and presents suitable compensatory methods solving problem. A new empirical validity procedure...