☆ 4.7 Article

An integrated interval-valued intuitionistic fuzzy technique for resumption risk assessment amid COVID-19 prevention

INFORMATION SCIENCES (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Computer Science, Information Systems

An integrated behavior decision-making approach for large group quality function deployment

Hu-Chen Liu et al.

Summary: Quality function deployment (QFD) is a team-based product development technique that aims to determine critical engineering characteristics based on customer requirements for higher customer satisfaction. This paper proposes a new large group QFD approach based on an extended TODIM method and interval type-2 fuzzy sets, with modifications to consider psychological factors and objective weighting methods. The effectiveness and practicability of the proposed approach are demonstrated through a comparison analysis with previous methods using an electric vehicle product development case study.

INFORMATION SCIENCES (2022)

添加到收藏夹

Article Computer Science, Information Systems

An integrated method for product ranking through online reviews based on evidential reasoning theory and stochastic dominance

Jindong Qin et al.

Summary: Online reviews play a significant role in consumers' purchasing decisions, but they can be confusing for inexperienced buyers. This paper addresses the issues of sentiment analysis and product ranking based on multi-criteria decision-making methods in order to solve the problem of product ranking using online reviews. The proposed integrated method utilizes evidential reasoning theory and stochastic dominance rules to rank products based on online reviews, and it has been validated through a case study on computer products from JD Mall.

INFORMATION SCIENCES (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Failure mode and effect analysis: An interval-valued intuitionistic fuzzy cloud theory-based method

Guangquan Huang et al.

Summary: Failure mode and effect analysis (FMEA) is a proactive quality management tool that aims to improve system reliability. This study introduces a novel concept of interval-valued intuitionistic fuzzy clouds (IVIFCs) to enhance the traditional FMEA technique by combining the benefits of interval-valued intuitionistic fuzzy set and cloud model.

APPLIED SOFT COMPUTING (2021)

添加到收藏夹

Article Green & Sustainable Science & Technology

The development of IFN-SPA: A new risk assessment method of urban water quality and its application in Shanghai

Hai-Min Lyu et al.

Summary: The study proposed a new set-pair analysis method using interval-based fuzzy numbers, referred to as the IFN-SPA method. The IFN-SPA method overcomes the limitations of existing methods, simplifies judgement membership functions, and provides more reasonable results when assessing water quality in Shanghai.

JOURNAL OF CLEANER PRODUCTION (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Bi-objective trapezoidal fuzzy mixed integer linear program-based distribution center location decision for large-scale emergencies

Shu-ping Wan et al.

Summary: This paper addresses three important challenges in emergency distribution center (EDC) location modeling, proposing a new flexible ranking relation for trapezoidal fuzzy numbers, developing a bi-objective trapezoidal fuzzy EDC location model, and ultimately transforming it into a single-objective crisp EDC location linear program. The proposed method's practicality, validity, flexibility, and superiority are demonstrated through the Wenchuan earthquake case study, sensitivity analysis, comparative analysis, and accuracy analysis.

APPLIED SOFT COMPUTING (2021)

添加到收藏夹

Article Computer Science, Information Systems

Optimization-based group decision making using interval-valued intuitionistic fuzzy preference relations

Zhiming Zhang et al.

Summary: This paper presents an optimization-based group decision making method using IVIFPRs, addressing consistency issues by introducing consistency and consensus indexes. It offers a useful approach for group decision making in the IVIF context, integrating individual IVIFPRs into a collective IVIFPR and providing a new GDM method with IVIFPRs.

INFORMATION SCIENCES (2021)

添加到收藏夹

Article Computer Science, Information Systems

Multiattribute decision making using novel score function of interval-valued intuitionistic fuzzy values and the means and the variances of score matrices

Shyi-Ming Chen et al.

Summary: This study proposes a new MADM method based on IVIFV, which ranks alternatives by calculating score values and converting weights, overcoming the shortcomings of existing methods.

INFORMATION SCIENCES (2021)

添加到收藏夹

Article Computer Science, Information Systems

Choquet integral optimisation with constraints and the buoyancy property for fuzzy measures

Gleb Beliakov et al.

Summary: This work focuses on solving optimization problems using the Choquet integral as the objective function, which allows for interaction between coalitions of decision variables. Efficient solution approaches are proposed for problems with a large number of variables, leveraging the antibuoyancy property and extending it to general fuzzy measures. Theoretical results are supported by numerical experiments, showing significant performance gains and scalability to a higher number of variables.

INFORMATION SCIENCES (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Evaluating community question-answering websites using interval-valued intuitionistic fuzzy DANP and TODIM methods

Ming Li et al.

Summary: This study proposes an approach to evaluate the quality of CQA websites, which includes constructing a CQA service quality model and using a multicriteria decision-making method in an interval-valued intuitionistic fuzzy environment for weight determination and ranking. The experimental results, sensitivity analysis, and comparative analysis demonstrate the feasibility and practicality of this approach.

APPLIED SOFT COMPUTING (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

An extended fuzzy decision-making framework using hesitant fuzzy sets for the drug selection to treat the mild symptoms of Coronavirus Disease 2019 (COVID-19)

Arunodaya Raj Mishra et al.

Summary: The study used hesitant fuzzy decision-making method to select five methods or medications for treating mild symptoms of COVID-19, and found Remdesivir to be the best medicine. By developing the ARAS approach to tackle decision-making problems and introducing a divergence measure to assess the relative importance of criteria, this innovative method was proven effective and reliable.

APPLIED SOFT COMPUTING (2021)

添加到收藏夹

Review Computer Science, Artificial Intelligence

A meta-evaluation model on science and technology project review experts using IVIF-BWM and MULTIMOORA

Jian Wang et al.

Summary: Meta-evaluation theory and methods were used to evaluate science and technology project review experts, with dozens of criteria identified in two categories. An empirical study was conducted to analyze the relationships among these criteria and propose a method to handle subjective fuzzy data. The proposed model based on IVIF-BWM and MULTIMOORA was applied in a real case study, which demonstrated its accuracy and reliability.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

添加到收藏夹

Article Computer Science, Information Systems

Multiattribute decision making based on interval-valued intuitionistic fuzzy values, score function of connection numbers, and the set pair analysis theory

Kamal Kumar et al.

Summary: This paper introduces a new method for multiattribute decision making, utilizing a score function based on connection numbers and set pair analysis theory in the context of interval-valued intuitionist fuzzy values. By converting IVIFVs into CNs and calculating the optimal weights of attributes, the proposed method demonstrates practical applications and overcomes the drawbacks of existing methods.

INFORMATION SCIENCES (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Mediative fuzzy logic mathematical model: A contradictory management prediction in COVID-19 pandemic

M. K. Sharma et al.

Summary: This paper presents a model based on mediative fuzzy logic for studying COVID-19 patients in different parts of India. It provides estimates for the peaks of infected cases and has shown promising results for predicting COVID-19 in India. The proposed model can be used to find a good fit or contradictory model for any pandemic situation.

APPLIED SOFT COMPUTING (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Status evaluation of provinces affected by COVID-19: A qualitative assessment using fuzzy system

Bappaditya Ghosh et al.

Summary: The outbreak of COVID-19 has had detrimental effects on various aspects of human life. A computational methodology using a fuzzy inference system has been developed to estimate the present status of states and provinces affected by COVID-19 in India. The methodology considers factors such as population density, number of COVID-19 tests, confirmed cases, recovery rate, and mortality rate as input parameters.

APPLIED SOFT COMPUTING (2021)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Sustainable production and waste management policies for COVID-19 medical equipment under uncertainty: A case study analysis

Firoz Ahmad et al.

Summary: The COVID-19 pandemic has severely impacted human lives and various sectors, with a significant rise in demand for personal protective equipment (PPEs). This paper proposes a modeling and optimization framework for COVID-19 medical equipment to address sustainable production and waste management decisions under uncertainty, utilizing intuitionistic fuzzy set theory to quantify uncertainties among parameter values.

COMPUTERS & INDUSTRIAL ENGINEERING (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

An integrated approach of fuzzy risk assessment model and data envelopment analysis for route selection in multimodal transportation networks

Nitidetch Koohathongsumrit et al.

Summary: This study presents a novel integrated framework combining fuzzy risk assessment model, data envelopment analysis, and multiple criteria decision-making approaches for route selection in multimodal transportation networks. The research utilizes various methods to quantify risks, evaluate risks, weight decision criteria, and ultimately select the most appropriate multimodal route.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Fuzzy case-based reasoning approach for finding COVID-19 patients priority in hospitals at source shortage period

Selvaraj Geetha et al.

Summary: The research introduces an algorithm for evaluating the admission of COVID-19 patients in hospitals during source shortage, effectively reducing mortality rate. By studying individuals with different outcomes, a method for easily constructing factors at different levels is provided.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

添加到收藏夹

Article Computer Science, Information Systems

A novel framework of collaborative early warning for COVID-19 based on blockchain and smart contracts

Liwei Ouyang et al.

Summary: This paper proposes a novel framework of collaborative early warning for COVID-19 based on blockchain and smart contracts, aiming to crowdsource early warning tasks to distributed channels. The framework supports two surveillance modes, medical federation surveillance and social collaboration surveillance, and fuses their monitoring results to alert. By using this framework, medical institutions can obtain better federated surveillance models with privacy protection, and social participants can share surveillance resources and solutions even without mutual trust.

INFORMATION SCIENCES (2021)

添加到收藏夹

Article Hospitality, Leisure, Sport & Tourism

Forecasting tourism recovery amid COVID-19

Hanyuan Zhang et al.

Summary: This study combined econometric and judgmental methods to forecast possible paths to tourism recovery in Hong Kong in response to the devastating impact of the COVID-19 pandemic. Forecasts were generated using an autoregressive distributed lag-error correction model, with Delphi adjustments made based on different recovery scenarios to evaluate the economic effects of COVID-19 on the tourism industry in Hong Kong.

ANNALS OF TOURISM RESEARCH (2021)

添加到收藏夹

Review Management

Mass casualty management in disaster scene: A systematic review of OR&MS research in humanitarian operations

Reza Zanjirani Farahani et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2020)

添加到收藏夹

Article Economics

A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19)

Kannan Govindan et al.

TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A modified interval valued intuitionistic fuzzy CODAS method and its application to multi-criteria selection among renewable energy alternatives in Turkey

Kaan Deveci et al.

APPLIED SOFT COMPUTING (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Interval-valued intuitionistic hesitant fuzzy entropy based VIKOR method for industrial robots selection

S. Narayanamoorthy et al.

EXPERT SYSTEMS WITH APPLICATIONS (2019)

添加到收藏夹

Article Green & Sustainable Science & Technology

Risk assessment in photovoltaic poverty alleviation projects in China under intuitionistic fuzzy environment

Yunna Wu et al.

JOURNAL OF CLEANER PRODUCTION (2019)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Risk assessment based on hybrid FMEA framework by considering decision maker's psychological behavior character

Weizhong Wang et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2019)

添加到收藏夹

Article Computer Science, Information Systems

Risk assessment in cross-border transport infrastructure projects: A fuzzy hybrid method considering dual interdependent effects

Jianping Li et al.

INFORMATION SCIENCES (2019)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Multi-attribute group decision making based on extended TOPSIS method under interval-valued intuitionistic fuzzy environment

Pankaj Gupta et al.

APPLIED SOFT COMPUTING (2018)

添加到收藏夹

Article Computer Science, Information Systems

A group decision-making method considering both the group consensus and multiplicative consistency of interval-valued intuitionistic fuzzy preference relations

Shuping Wan et al.

INFORMATION SCIENCES (2018)

添加到收藏夹

Article Computer Science, Artificial Intelligence

An advanced study on the similarity measures of intuitionistic fuzzy sets based on the set pair analysis theory and their application in decision making

Harish Garg et al.

SOFT COMPUTING (2018)

添加到收藏夹

Article Environmental Sciences

Risk assessment of water pollution sources based on an integrated k-means clustering and set pair analysis method in the region of Shiyan, China

Chunhui Li et al.

SCIENCE OF THE TOTAL ENVIRONMENT (2016)

添加到收藏夹

Article Management

Best-worst multi-criteria decision-making method

Jafar Rezaei

OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE (2015)

添加到收藏夹

Article Operations Research & Management Science

Crude oil supply chain risk management with DEMATEL-ANP

Safar Fazli et al.

OPERATIONAL RESEARCH (2015)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Construction projects selection and risk assessment by fuzzy AHP and fuzzy TOPSIS methodologies

Osman Taylan et al.

APPLIED SOFT COMPUTING (2014)

添加到收藏夹

Article Computer Science, Information Systems

Logarithmic least squares prioritization and completion methods for interval fuzzy preference relations based on geometric transitivity

Zhou-Jing Wang et al.

INFORMATION SCIENCES (2014)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A new method for ranking intuitionistic fuzzy values and its application in multi-attribute decision making

Xiumei Zhang et al.

FUZZY OPTIMIZATION AND DECISION MAKING (2012)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Objective weights with intuitionistic fuzzy entropy measures and computational experiment analysis

Ting-Yu Chen et al.

APPLIED SOFT COMPUTING (2011)

添加到收藏夹

Article Computer Science, Information Systems

Entropy, similarity measure of interval-valued intuitionistic fuzzy sets and their applications

Cui-Ping Wei et al.

INFORMATION SCIENCES (2011)

添加到收藏夹

Article Computer Science, Theory & Methods

On the normalization of interval and fuzzy weights

Ying-Ming Wang et al.

FUZZY SETS AND SYSTEMS (2006)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment

Ying-Ming Wang et al.

EXPERT SYSTEMS WITH APPLICATIONS (2006)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.