Institution
National Taiwan University of Science and Technology
Education•Taipei, Taipei, Taiwan•
About: National Taiwan University of Science and Technology is a education organization based out in Taipei, Taipei, Taiwan. It is known for research contribution in the topics: Fuzzy logic & Control theory. The organization has 16288 authors who have published 21577 publications receiving 426294 citations. The organization is also known as: Taiwan Tech & Taiwantech.
Topics: Fuzzy logic, Control theory, Catalysis, Thin film, Adsorption
Papers published on a yearly basis
Papers
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TL;DR: In this paper, a probabilistic signal-to-interference and noise ratio (SINR) constrained problem for transmit beamforming design in the presence of imperfect channel state information (CSI), under a multiuser multiple-input single-output (MISO) downlink scenario is considered.
Abstract: In this paper we consider a probabilistic signal-to-interference and-noise ratio (SINR) constrained problem for transmit beamforming design in the presence of imperfect channel state information (CSI), under a multiuser multiple-input single-output (MISO) downlink scenario. In particular, we deal with outage-based quality-of-service constraints, where the probability of each user's SINR not satisfying a service requirement must not fall below a given outage probability specification. The study of solution approaches to the probabilistic SINR constrained problem is important because CSI errors are often present in practical systems and they may cause substantial SINR outages if not handled properly. However, a major technical challenge is how to process the probabilistic SINR constraints. To tackle this, we propose a novel relaxation- restriction (RAR) approach, which consists of two key ingredients-semidefinite relaxation (SDR), and analytic tools for conservatively approximating probabilistic constraints. The underlying goal is to establish approximate probabilistic SINR constrained formulations in the form of convex conic optimization problems, so that they can be readily implemented by available solvers. Using either an intuitive worst-case argument or specialized probabilistic results, we develop various conservative approximation schemes for processing probabilistic constraints with quadratic uncertainties. Consequently, we obtain several RAR alternatives for handling the probabilistic SINR constrained problem. Our techniques apply to both complex Gaussian CSI errors and i.i.d. bounded CSI errors with unknown distribution. Moreover, results obtained from our extensive simulations show that the proposed RAR methods significantly improve upon existing ones, both in terms of solution quality and computational complexity.
300 citations
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TL;DR: In this article, the authors present a typology of current social media services using the following categories: relationship, self-media, collaboration, and creative outlet, and elaborate on how each type of social media caters to basic human needs, and provide implications for social media marketing based on the needcongruence lens.
300 citations
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TL;DR: In this paper, the authors examined how technology readiness (TR) influences customers' perception and adoption of self-service technologies (SSTs) through development of an empirical model to explore the relationships among TR, perceived service quality, satisfaction and behavioral intentions toward SSTs.
Abstract: Purpose – This study aims to examine how technology readiness (TR) influences customers' perception and adoption of self‐service technologies (SSTs) through development of an empirical model to explore the relationships among TR, perceived service quality, satisfaction and behavioral intentions toward SSTs.Design/methodology/approach – A theoretical framework is proposed to suggest the links between the four constructs. Extant research and concepts from various fields, including marketing, psychology and information system (IS), are reviewed, deriving six hypotheses. Data from SST users is examined through structural equation modeling (SEM).Findings – Results indicate TR influences perceived SST service quality and behavioral intentions, while perceived SST service quality has a positive impact on customer satisfaction and behavioral intentions toward SSTs.Research limitations/implications – This study represents an early attempt at explaining the role of TR in customer SST usage. Future research directio...
299 citations
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01 Jun 2001TL;DR: This paper presents an efficient fuzzy classifier with the ability of feature selection based on a fuzzy entropy measure and investigates the use of fuzzy entropy to select relevant features.
Abstract: This paper presents an efficient fuzzy classifier with the ability of feature selection based on a fuzzy entropy measure. Fuzzy entropy is employed to evaluate the information of pattern distribution in the pattern space. With this information, we can partition the pattern space into nonoverlapping decision regions for pattern classification. Since the decision regions do not overlap, both the complexity and computational load of the classifier are reduced and thus the training time and classification time are extremely short. Although the decision regions are partitioned into nonoverlapping subspaces, we can achieve good classification performance since the decision regions can be correctly determined via our proposed fuzzy entropy measure. In addition, we also investigate the use of fuzzy entropy to select relevant features. The feature selection procedure not only reduces the dimensionality of a problem but also discards noise-corrupted, redundant and unimportant features. Finally, we apply the proposed classifier to the Iris database and Wisconsin breast cancer database to evaluate the classification performance. Both of the results show that the proposed classifier can work well for the pattern classification application.
298 citations
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TL;DR: The proposed method considers the defuzzified values, the heights and the spreads for ranking generalized fuzzy numbers to provide a useful way for handling the fuzzy risk analysis problems.
Abstract: In this paper, we present a new method for fuzzy risk analysis based on ranking generalized fuzzy numbers with different heights and different spreads. First, we present a new method for ranking generalized fuzzy numbers. The proposed method considers the defuzzified values, the heights and the spreads for ranking generalized fuzzy numbers. Based on the proposed method for ranking generalized fuzzy numbers, we propose a fuzzy risk analysis algorithm to deal with fuzzy risk analysis problems. The proposed method provides a useful way for handling the fuzzy risk analysis problems.
295 citations
Authors
Showing all 16326 results
Name | H-index | Papers | Citations |
---|---|---|---|
Gerbrand Ceder | 137 | 682 | 76398 |
Jong-Sung Yu | 124 | 1051 | 72637 |
Tai-Shung Chung | 119 | 879 | 54067 |
En-Tang Kang | 97 | 763 | 38498 |
Koon Gee Neoh | 95 | 683 | 35008 |
Kisuk Kang | 93 | 345 | 31810 |
Duu-Jong Lee | 91 | 979 | 37292 |
Shyi-Ming Chen | 90 | 425 | 22172 |
Pi-Tai Chou | 90 | 614 | 30922 |
Chin Chung Tsai | 83 | 409 | 23043 |
Chung-Yuan Mou | 83 | 420 | 25075 |
Yuan T. Lee | 78 | 447 | 20517 |
Gwo-Hshiung Tzeng | 77 | 465 | 26807 |
Kuei-Hsien Chen | 75 | 652 | 24809 |
Shen-Ming Chen | 72 | 949 | 24444 |