Int. J. Inf. Technol. Decis. Mak.最新文献_第6页

New Approaches to Extract Information From Posts on COVID-19 Published on Reddit 从Reddit上发布的关于COVID-19的帖子中提取信息的新方法

Int. J. Inf. Technol. Decis. Mak. Pub Date : 2022-05-19 DOI: 10.1142/s0219622022500213

Gianluca Bonifazi, Enrico Corradini, D. Ursino, L. Virgili

引用次数: 6

A Hybrid Data-Driven Approach for Forecasting the Characteristics of Production Disruptions and Interruptions 生产中断和中断特征预测的混合数据驱动方法

Int. J. Inf. Technol. Decis. Mak. Pub Date : 2022-05-13 DOI: 10.1142/s0219622022500171

M. R. Bazargan-Lari, S. Taghipour

{"title":"A Hybrid Data-Driven Approach for Forecasting the Characteristics of Production Disruptions and Interruptions","authors":"M. R. Bazargan-Lari, S. Taghipour","doi":"10.1142/s0219622022500171","DOIUrl":"https://doi.org/10.1142/s0219622022500171","url":null,"abstract":"Manufacturing companies sometimes suffer from unexpected production disruptions/interruptions events (DIEs), affecting the production performance and cost. Since DIEs vary in type and cause, predicting the characteristics of their corresponding production downtimes is a challenging task. Although efforts have been devoted to forecast/prevent specific types of DIEs, such as machine-related events, it is still difficult to deal with the uncertainty caused by a combination of production DIEs of various types. Moreover, the absence of a realistic scenario generator incorporating DIEs has been a challenge in production scheduling under uncertainty. This study investigates the potential use of a hybrid data-driven approach in incorporating the uncertainties of a wide range of DIEs. In this approach, a random forest (RF) method and probability distributions are integrated to forecast the DIEs. The study was carried out based on the recorded DIEs in a Canadian company producing assembly parts for automotive industry. The performance of the proposed methodology for forecasting the production DIEs is evaluated by determining the predicted total downtime (TD) in percent of the expected processing time. The proposed hybrid model yields an overall accuracy of 92.82% in predicting the TD, compared to an overall accuracy of 75.64% when a single RF is used for prediction.","PeriodicalId":13527,"journal":{"name":"Int. J. Inf. Technol. Decis. Mak.","volume":"52 1","pages":"1127-1154"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75784209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Interval-Valued Fuzzy Multi-Criteria Decision-Making by Combining Analytic Hierarchy Process with Utility Representation Function 层次分析法与效用表示函数相结合的区间模糊多准则决策

Int. J. Inf. Technol. Decis. Mak. Pub Date : 2022-05-13 DOI: 10.1142/s0219622022500225

Yu-Jie Wang

{"title":"Interval-Valued Fuzzy Multi-Criteria Decision-Making by Combining Analytic Hierarchy Process with Utility Representation Function","authors":"Yu-Jie Wang","doi":"10.1142/s0219622022500225","DOIUrl":"https://doi.org/10.1142/s0219622022500225","url":null,"abstract":"To encompass uncertainty and vagueness of information, the analytic hierarchy process (AHP) was often extended into fuzzy multi-criteria decision-making (FMCDM) under an uncertain environment. However, the extension of AHP was rarely constructed on interval-valued fuzzy numbers. Recently, interval-valued fuzzy numbers were utilized for decision-making to obtain more messages than others. For AHP extended under a fuzzy environment into fuzzy AHP, fuzzy computations are critical to derive priorities of pairwise comparison matrices. Although AHP’s approximate computations including the normalization of row arithmetic averages may be adopted to the fuzzy environment, the fuzzy extension of AHP is still complicated for division and multiplication of fuzzy numbers, especially interval-valued fuzzy numbers. To resolve complicated ties, a utility representation function of interval-valued fuzzy numbers in fuzzy AHP is used for yielding vectors consisting of priority representations of fuzzy pairwise comparison matrices on evaluation criteria based on objective, alternatives based on evaluation criteria, and more hierarchies. Then, sum product of multiplying the priority representation vectors is derived to form the utility representations of alternative performance indices, and alternative performance indices are represented by their corresponding utility representations. Therefore, FMCDM problems are easily solved by fuzzy AHP, i.e., combining AHP with the utility representation function under an interval-valued fuzzy environment.","PeriodicalId":13527,"journal":{"name":"Int. J. Inf. Technol. Decis. Mak.","volume":"56 1","pages":"1433-1465"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77436823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A Group Consensus Reaching Method Considering Satisfaction of Decision Makers with Distributed Preference Relations 考虑分布偏好关系下决策者满意度的群体共识达成方法

Int. J. Inf. Technol. Decis. Mak. Pub Date : 2022-05-07 DOI: 10.1142/s0219622022500237

Yin Liu, Min Xue

引用次数: 0

An Agent-Based Model for the Impact of Price Limit Changes on Market Quality 价格限制变化对市场质量影响的基于agent的模型

Int. J. Inf. Technol. Decis. Mak. Pub Date : 2022-05-07 DOI: 10.1142/s0219622022500286

Xiong Xiong, Jinchi Liu, Zonghang Yang, Jiatong Han

引用次数: 0

A Novel Integrated Fuzzy-Rough MCDM Model for Assessment of Barriers Related to Smart Logistics Applications and Demand Forecasting Method in the COVID-19 Period 新冠肺炎时期智能物流应用障碍评估的模糊-粗糙集成MCDM模型及需求预测方法

Int. J. Inf. Technol. Decis. Mak. Pub Date : 2022-05-07 DOI: 10.1142/s0219622022500274

Željko Stević, Selçuk Korucuk, Çağlar Karamaşa, Ezgi Demir, E. Zavadskas

{"title":"A Novel Integrated Fuzzy-Rough MCDM Model for Assessment of Barriers Related to Smart Logistics Applications and Demand Forecasting Method in the COVID-19 Period","authors":"Željko Stević, Selçuk Korucuk, Çağlar Karamaşa, Ezgi Demir, E. Zavadskas","doi":"10.1142/s0219622022500274","DOIUrl":"https://doi.org/10.1142/s0219622022500274","url":null,"abstract":"During the pandemic period, smart logistics applications have rapidly changed the way organizations do business in order to provide competitive products and services while still remaining flexible. Smart logistics applications and demand forecasting, which have an important place in ensuring customer satisfaction and increasing competitive advantage, came to the fore even more in this period. However, smart logistics applications are often bogged down by several barriers, and then there is the need to choose the most ideal demand forecasting method despite these barriers. The main purpose of this study is to assess the barriers to the smart logistics applications in companies that receive and provide logistics services with corporate identity in Ordu Province, and to choose the most ideal demand forecasting method during the COVID-19 period. This study has the characteristic of a roadmap that helps the construction of smart logistics transformation applications by detecting barriers related to smart logistics applications and determining the most ideal demand forecasting alternative in logistics sector. Fuzzy FUCOM (FUll COnsistency Method)-based interval rough EDAS (Evaluation based on Distance from Average Solution) methodology was used to weight the barriers and to rank and choose the most ideal demand forecasting method during COVID-19 period, respectively.","PeriodicalId":13527,"journal":{"name":"Int. J. Inf. Technol. Decis. Mak.","volume":"5 1","pages":"1647-1678"},"PeriodicalIF":0.0,"publicationDate":"2022-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87846846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Combining Deep Neural Network and PLS-SEM to Predict Patients' Continuity with Telemedicine 结合深度神经网络和PLS-SEM预测患者远程医疗的连续性

Int. J. Inf. Technol. Decis. Mak. Pub Date : 2022-05-07 DOI: 10.1142/s0219622022500249

Khondker Mohammad Zobair, L. Sanzogni, L. Houghton, M. Islam

引用次数: 1

Comparative Analysis of MultiCriteria Inventory Classification Models for ABC Analysis ABC分析中多准则库存分类模型的比较分析

Int. J. Inf. Technol. Decis. Mak. Pub Date : 2022-05-07 DOI: 10.1142/s0219622022500262

Hadhami Kaabi

引用次数: 0

A Novel Risk Assessment Approach Using a Hybrid Method Based On Fine-Kinney and Extended MCDM Methods Under Interval-Valued Intuitionistic Fuzzy Environment 区间值直觉模糊环境下基于Fine-Kinney和扩展MCDM方法的混合风险评估方法

Int. J. Inf. Technol. Decis. Mak. Pub Date : 2022-05-07 DOI: 10.1142/s0219622022500250

Sukran Seker

引用次数: 4

Ranking Decision-Making Units Using Interval Data Envelopment Analysis: Extension and Application 区间数据包络分析对决策单元排序的推广与应用

Int. J. Inf. Technol. Decis. Mak. Pub Date : 2022-04-23 DOI: 10.1142/s0219622022500158

E. Zanboori, S. Ghobadi

{"title":"Ranking Decision-Making Units Using Interval Data Envelopment Analysis: Extension and Application","authors":"E. Zanboori, S. Ghobadi","doi":"10.1142/s0219622022500158","DOIUrl":"https://doi.org/10.1142/s0219622022500158","url":null,"abstract":"In the current world, dealing with some problems with interval data is inevitable. In this case, the methods applied for real data could not be employed. To solve these problems, the modified version of previous methods or new methods should be presented. In this paper, the two-stage ranking method that already has been proposed by the authors is modified to solve the mentioned problems. In each stage, two optimistic and pessimistic attitudes are considered and their corresponding models are presented. Then, an appropriate algorithm for classifying the units based on their obtained interval efficiency is proposed. To demonstrate the applicability of the proposed method, 30 branches of the social security insurance organization in Iran are classified. Also, the validity and consistency of the proposed method are confirmed. The main contributions of this paper are as follows: Decision-making units (DMUs) are ranked with interval inputs and outputs. Inefficiency of the first projection (obtained in the first stage) is applied in the unit rank score. All units are classified in separate classes and all units of each class are ranked. Pareto-efficient projections (practical benchmarks) are obtained for all inefficient units. The proposed model is always feasible and unit invariant.","PeriodicalId":13527,"journal":{"name":"Int. J. Inf. Technol. Decis. Mak.","volume":"142 1","pages":"1267-1296"},"PeriodicalIF":0.0,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75993197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0