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DIP-MOEA: a double-grid interactive preference based multi-objective evolutionary algorithm for formalizingpreferences of decision makers Research Article

Luda ZHAO, Bin WANG, Xiaoping JIANG, Yicheng LU, Yihua HU

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 11, Pages 1714-1732 doi: 10.1631/FITEE.2100508

Abstract: algorithms (MOEAs) lies a certain distance away from the decision makers’ preference informationbased MOEA (DIP-MOEA), which explicitly takes the preferences of decision makers (DMs) into account.optimization problems and the preferences of DMs, the membership functions are mapped to generate a decisionpreference grid and a preference error grid.Then, we put forward two dominant modes of population, preference degree dominance and preference error

Keywords： Multi-objective evolutionary algorithm (MOEA) Formalizing preference of decision makers Populationrenewal strategy Preference interaction

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An overview on the applications of the hesitant fuzzy sets in group decision-making: Theory, support

Zeshui XU, Shen ZHANG

Frontiers of Engineering Management 2019, Volume 6, Issue 2, Pages 163-182 doi: 10.1007/s42524-019-0017-4

Abstract: element (HFE), which is the basic component of HFSs, can express the evaluation values of multiple decisionmakers (DMs) on the same alternative under a certain attribute.Thus, the HFS has its unique advantages in group decision making (GDM).the consensus process under hesitant fuzzy environment, which is an important support for a complete decision-makingaspect, we introduce seven hesitant fuzzy GDM approaches, which can be applied in GDM under different decision-making

Keywords： hesitant fuzzy set hesitant fuzzy preference relation group decision-making

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Multi-objective decision model for construction diversionschemes based on utility

Fan Xi´e,Hu Zhigen,Liu Quan

Strategic Study of CAE 2008, Volume 10, Issue 7, Pages 137-140

Abstract: makers.When calculating three decision indexes of risk,period and utility of risk loss, this paper presentsa multi-objective decision-making method for diversion schemes considering the utility of risk lossby applying multi-objective decision-making theory.The case study shows that the result of decision making by the multi-objective decision model based onutility reflects the decision maker's favor to his risk preference and his fullest satisfaction.

Keywords： diversion scheme utility losing multi-objective decision risk preference

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Fuel type preference of taxi driver and its implications for air emissions

Feng WANG,Beibei LIU,Bing ZHANG,Jun BI

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 4, Pages 702-711 doi: 10.1007/s11783-014-0665-x

Abstract: replacement pattern as well as the pollutants reduction potential of the taxi industry, first, the fuel preferencecharacteristics (such as age, working experience, and education level) are consistent with their fuel preference

Keywords： fuel preference energy replacement environmental impacts taxi

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ENVIRONMENTAL ATTITUDES AND CONSUMER PREFERENCE FOR ENVIRONMENTALLY-FRIENDLY BEVERAGE PACKAGING: THE

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 1, Pages 95-108 doi: 10.15302/J-FASE-2022478

Abstract:

● Consumer preference for environmentally-friendly beverage packaging

Keywords： China consumer preference food and beverage packaging green identity label information treatment

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Microneedle Makers Seek to Engineer a Better Shot

Peter Weiss

Engineering 2021, Volume 7, Issue 12, Pages 1661-1664 doi: 10.1016/j.eng.2021.11.010

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Optimal risk allocation in alliance infrastructure projects: A social preference perspective

Xiang DING, Qian LI

Frontiers of Engineering Management 2022, Volume 9, Issue 2, Pages 326-336 doi: 10.1007/s42524-020-0145-x

Abstract: Specifically, envious preference is positively related to AL’s optimal risk-sharing ratio, whereas guiltypreference negatively affects AL’s optimal risk-sharing ratio.

Keywords： public project contract design risk sharing inequity aversion governance

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Convergence to real-time decision making

James M. TIEN

Frontiers of Engineering Management 2020, Volume 7, Issue 2, Pages 204-222 doi: 10.1007/s42524-019-0040-5

Abstract: Real-time decision making reflects the convergence of several digital technologies, including those concernedMore specifically, real-time decision making can be depicted in terms of three converging dimensions:Internet of Things, decision making, and real-time.Decision making includes model-based analytics (since before 1990), information-based Big Data (sinceCentral to decision making, especially real-time decision making, is the ServGood concept, which the

Keywords： real-time decision making services goods ServGoods Big Data Internet of Things artificial intelligence

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Current applications of artificial intelligence for intraoperative decision support in surgery

Allison J. Navarrete-Welton, Daniel A. Hashimoto

Frontiers of Medicine 2020, Volume 14, Issue 4, Pages 369-381 doi: 10.1007/s11684-020-0784-7

Abstract: This scoping review investigated AI-based decision support systems targeted at the intraoperative phasethat a number of opportunities exist for future researchers and clinicians to work on AI for surgical decision

Keywords： artificial intelligence decision support clinical decision support systems intraoperative deep learning

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Challenges of human–machine collaboration in risky decision-making

Frontiers of Engineering Management 2022, Volume 9, Issue 1, Pages 89-103 doi: 10.1007/s42524-021-0182-0

Abstract: purpose of this paper is to delineate the research challenges of human–machine collaboration in risky decision-makingIn risky decision-making, a human decision-maker is vulnerable to cognitive biases when judging the possibleoutcomes of a risky event, whereas a machine decision-maker cannot handle new and dynamic contexts withWe first summarize features of risky decision-making and possible biases of human decision-makers thereinAfterward, we review the literature on human–machine collaboration in a general decision context, from

Keywords： human–machine collaboration risky decision-making human–machine team and interaction task allocation

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Erratum to: Theoretical foundation of a decision network for urban development

Shih-kung Lai, Jhong-you Huang,lai@tongji.edu.cn,jhongyouhuang@gmail.com

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10, Pages 1677-1677 doi: 10.1631/FITEE.15e0000

Abstract: Erratum to: , 2017 18(8):1033-1039. doi:

Keywords： Decision making Linked decisions Decision network Planning

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CORRECTION to: Special issue: Decision, risk analytics and data intelligence

Xiaozhe ZHAO, Desheng Wu

Frontiers of Engineering Management Pages 697-697 doi: 10.1007/s42524-020-0139-8

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Clinical decision-making by the emergency department resident physicians for critically ill patients

Tengda Xu, Jun Xu, Xuezhong Yu, Sui Ma, Zhong Wang

Frontiers of Medicine 2012, Volume 6, Issue 1, Pages 89-93 doi: 10.1007/s11684-012-0183-9

Abstract:

The application of main methodologies for clinical decision-making by residents in emergency medicalMedical College Hospital of were analyzed by independent investigators who evaluated the main clinical decision-makingThe application of decision-making strategies by PG1 and PG3 groups, which means the residents in firstThe decision-making processes applied by junior and senior residents were significantly different, althoughInclusion of clinical decision-making in medical curricula is needed to improve decision-making in critical

Keywords： clinical decision-making emergency medicine critically ill patient resident methodology

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Both-Branch Fuzzy Decision and Problems on Decision Discernment

Shi Kaiquan,Li Qiqiang

Strategic Study of CAE 2001, Volume 3, Issue 1, Pages 71-77

Abstract: (X^*≠{x}), and the optimal decision analysis model.In addition, the paper proposes decision judgement theorem, decision discernment theorem, decision surplusage-discardingBoth-branch fuzzy decision has such characteristics as decision two-direction dependence character, decisionpiling-synthesis character, decision branch-separating character, decision branch-degeneration character, and decision non-fault character.

Keywords： both-branch fuzzy decision decision model judgement theorem discernment theorem surplusage-discarding

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Preference transfer model in collaborative filtering for implicit data Project supported by Article

Bin JU,Yun-tao QIAN,Min-chao YE

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 6, Pages 489-500 doi: 10.1631/FITEE.1500313

Abstract: In this paper, we propose a novel method called the preference transfer model for effective cross-domainEach user-factor matrix can be viewed as user preference in terms of browsing behavior or buying behaviorThen, two factor-user matrices can be used to construct a so-called ‘preference dictionary’ that candiscover in advance the consistent preference of users, from their browsing behaviors to their buyingExperimental results demonstrate that the proposed preference transfer model outperforms the other methods

Keywords： Recommender systems Collaborative filtering Preference transfer model Cross domain Implicit data