Journal of Operations Intelligence最新文献

Assessing the Academic Performance of Turkish Universities in 2023: A MEREC-WEDBA Hybrid Methodology Approach 评估 2023 年土耳其大学的学术表现：MEREC-WEDBA 混合方法论

Journal of Operations Intelligence Pub Date : 2024-05-19 DOI: 10.31181/jopi21202422

Karahan Kara, G. C. Yalçın, E. G. Kaygısız, Sercan Edinsel

{"title":"Assessing the Academic Performance of Turkish Universities in 2023: A MEREC-WEDBA Hybrid Methodology Approach","authors":"Karahan Kara, G. C. Yalçın, E. G. Kaygısız, Sercan Edinsel","doi":"10.31181/jopi21202422","DOIUrl":"https://doi.org/10.31181/jopi21202422","url":null,"abstract":"Research and reporting on university rankings serve as valuable tools for students in evaluating universities and understanding their current performance status. Within academic literature, university rankings are established using diverse criteria across various domains, each carrying varying degrees of importance. This study adopts a multi-criteria decision-making (MCDM) perspective to analyze the academic performance ranking of Turkish Universities in 2023. Data sourced from the 2023 reports of sixty-one universities from Times Higher Education (THE) serve as the basis for this research, with THE indicators—teaching, research, citations, industry income, and international outlook—considered as primary research criteria. The Method based on the Removal Effects of Criteria (MEREC) method is employed to ascertain criterion weights, while the Weighted Euclidean Distance-Based Approach (WEDBA) method is utilized for university ranking. The study identifies \"citations\" as the criterion of highest significance. Notably, the top-performing universities in the ranking include Çankaya University, Fırat University, and Bahçeşehir University. Furthermore, by comparing the rankings from this study with THE university rankings, the research offers tailored suggestions for universities. This study underscores the importance of deriving criterion weights from university performance datasets rather than relying on fixed weights, facilitating a more nuanced approach to university rankings. Moreover, it presents THE performance rankings for sixty-one Turkish universities, offering valuable insights for strategic planning within the university sector.","PeriodicalId":515345,"journal":{"name":"Journal of Operations Intelligence","volume":"44 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141123191","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

A Comparative Analysis of the Machine Learning Methods for Predicting Diabetes 预测糖尿病的机器学习方法比较分析

Journal of Operations Intelligence Pub Date : 2024-05-18 DOI: 10.31181/jopi21202421

Mohammad Maydanchi, Mehrbod Ziaei, Mehrdad Mohammadi, Armin Ziaei, Mina Basiry, Fatemeh Haji, Kazhal Gharibi

引用次数: 0

A Distance Measure of Fermatean Fuzzy Sets Based on Triangular Divergence and its Application in Medical Diagnosis 基于三角发散的费马泰模糊集距离度量及其在医学诊断中的应用

Journal of Operations Intelligence Pub Date : 2024-02-19 DOI: 10.31181/jopi21202415

Zhe Liu

引用次数: 4

A Framework for Assessment of Logistics Enterprises’ Safety Standardization Performance Based on Prospect Theory 基于前景理论的物流企业安全标准化绩效评估框架

Journal of Operations Intelligence Pub Date : 2024-02-14 DOI: 10.31181/jopi21202418

Yushuo Cao, Ding Ling

{"title":"A Framework for Assessment of Logistics Enterprises’ Safety Standardization Performance Based on Prospect Theory","authors":"Yushuo Cao, Ding Ling","doi":"10.31181/jopi21202418","DOIUrl":"https://doi.org/10.31181/jopi21202418","url":null,"abstract":"To evaluate the performance of the logistics safety standard system, we propose an evaluation framework based on the performance evaluation theory. First, we construct the performance evaluation indicator of the safety standard system for logistics enterprises. It is based on the existing performance evaluation indicator and combined with the construction goal of the logistics safety standard system. Second, we combine the triangular fuzzy number and prospect theory to determine the indicator state according to the characteristics of performance evaluation indicators. Then, we use the Choquet integral, fuzzy method, and Shapley value methods to evaluate the information, which considers the interaction of indicators. Third, we use the entropy and fuzzy analytic hierarchy process to determine the expert weight. The performance evaluation information of the logistic enterprise’s safety standard system is aggregated to obtain the assessment results. Finally, the proposed framework is validated by an example analysis. The results show that the proposed framework can be used to evaluate the performance of logistics enterprise safety standard systems.","PeriodicalId":515345,"journal":{"name":"Journal of Operations Intelligence","volume":"47 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139777948","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

A Framework for Assessment of Logistics Enterprises’ Safety Standardization Performance Based on Prospect Theory 基于前景理论的物流企业安全标准化绩效评估框架

Journal of Operations Intelligence Pub Date : 2024-02-14 DOI: 10.31181/jopi21202418

Yushuo Cao, Ding Ling

{"title":"A Framework for Assessment of Logistics Enterprises’ Safety Standardization Performance Based on Prospect Theory","authors":"Yushuo Cao, Ding Ling","doi":"10.31181/jopi21202418","DOIUrl":"https://doi.org/10.31181/jopi21202418","url":null,"abstract":"To evaluate the performance of the logistics safety standard system, we propose an evaluation framework based on the performance evaluation theory. First, we construct the performance evaluation indicator of the safety standard system for logistics enterprises. It is based on the existing performance evaluation indicator and combined with the construction goal of the logistics safety standard system. Second, we combine the triangular fuzzy number and prospect theory to determine the indicator state according to the characteristics of performance evaluation indicators. Then, we use the Choquet integral, fuzzy method, and Shapley value methods to evaluate the information, which considers the interaction of indicators. Third, we use the entropy and fuzzy analytic hierarchy process to determine the expert weight. The performance evaluation information of the logistic enterprise’s safety standard system is aggregated to obtain the assessment results. Finally, the proposed framework is validated by an example analysis. The results show that the proposed framework can be used to evaluate the performance of logistics enterprise safety standard systems.","PeriodicalId":515345,"journal":{"name":"Journal of Operations Intelligence","volume":"74 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139837802","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

Approach to Multi-Attribute Decision Making Based on Spherical Fuzzy Einstein Z-Number Aggregation Information 基于球形模糊爱因斯坦 Z 数聚合信息的多属性决策方法

Journal of Operations Intelligence Pub Date : 2024-02-01 DOI: 10.31181/jopi21202411

Adan Fatima, Shahzaib Ashraf, C. Jana

{"title":"Approach to Multi-Attribute Decision Making Based on Spherical Fuzzy Einstein Z-Number Aggregation Information","authors":"Adan Fatima, Shahzaib Ashraf, C. Jana","doi":"10.31181/jopi21202411","DOIUrl":"https://doi.org/10.31181/jopi21202411","url":null,"abstract":"Spherical fuzzy sets are an enhanced framework of the fuzzy set (FS), intuitionistic fuzzy set (IFS), Pythagorean fuzzy set (PyFS), and picture fuzzy set (PFS) with the restriction that the total square sum of the membership, indeterminacy, and non-membership degrees must be in 0 and 1. In contrast, the Z-number, a revolutionary idea that captures both the restriction and the reliability of evaluation, is more significant than fuzzy numbers in the fields of decision-making (DM), risk assessment, etc. However, there are still few and insufficient discussions of how to effectively deal with the limitations and reliability of the literature currently in existence. To address this, we first introduced the spherical fuzzy Einstein Z-numbers (SFEZNs), those elements are pairwise comparisons of the decision-makers options. It can be used effectively to make truly ambiguous judgments, reflecting the fuzzy nature, flexibility, and applicability of decision-making data. We present the spherical fuzzy Einstein Z-number weighted aggregation operators and the spherical fuzzy Einstein Z-number weighted geometric operators. We develop a model for spherical fuzzy Einstein Z-number aggregation operators. The main focus of this study is on a technique for handling the issue of multi-attribute decision-making (MADM) effectively and based on one's preferences. We also developed the algorithms for ranking the best options. Finally, we developed the relative comparison and discussion analysis to show the practicability and efficacy of the suggested operators and approaches. The study's findings and implications are discussed.","PeriodicalId":515345,"journal":{"name":"Journal of Operations Intelligence","volume":"1533 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140466717","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: 3

Risk Factors Assessment of Smart Supply Chain in Intelligent Manufacturing Services Using DEMATEL Method With LINGUISTIC q-ROF Information 利用 DEMATEL 法和 LINGUISTIC q-ROF 信息评估智能制造服务中智能供应链的风险因素

Journal of Operations Intelligence Pub Date : 2024-01-28 DOI: 10.31181/jopi21202417

Tingjun Xu, Haolun Wang, Liangqing Feng, Yanping Zhu

{"title":"Risk Factors Assessment of Smart Supply Chain in Intelligent Manufacturing Services Using DEMATEL Method With LINGUISTIC q-ROF Information","authors":"Tingjun Xu, Haolun Wang, Liangqing Feng, Yanping Zhu","doi":"10.31181/jopi21202417","DOIUrl":"https://doi.org/10.31181/jopi21202417","url":null,"abstract":"With the rapid development of technological informatization, competition among enterprises is gradually transitioning from being \"production-centered\" to being \"customer-centric,\" making service-oriented enterprises increasingly important. In addition to this, as global manufacturing advances in the process of intelligent manufacturing (IM), there is growing attention on the integration of manufacturing and the service industry, which has garnered the interest of numerous experts and scholars in the field of intelligent manufacturing services (IMS). This article combines intelligent manufacturing enterprises, intelligent service nodes, and consumers. Based on the background of intelligent manufacturing services, it collected risk factors within the smart supply chain (SSC) that connect different service nodes. These factors were evaluated by experts using a proposed linguistic q-rung orthopair fuzzy weighted averaging (Lq-ROFWA) operator in combination with the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method for aggregation operations. Finally, we obtain the conclusions that the most influential factor affecting other risk factors is the inadequate identification of core customer needs; and the most important risk factor for smart supply chains oriented to intelligent manufacturing services is the leakage of customer information. After analyzing the relevant data, we will provide some theoretical and managerial implications for IM enterprises.","PeriodicalId":515345,"journal":{"name":"Journal of Operations Intelligence","volume":"16 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139592059","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

Assessment of Solar Energy Technologies in Meeting the 2030 Agenda and Sustainable Development Goals Under an Interval-Valued Fermatean Fuzzy Environment 在区间值费马特模糊环境下评估太阳能技术在实现 2030 年议程和可持续发展目标方面的作用

Journal of Operations Intelligence Pub Date : 2024-01-25 DOI: 10.31181/jopi21202412

Mouhamed Bayane Bouraima, Badi Ibrahim, Yanjun Qiu, L. J. Muhammad, Marko Radovanović

引用次数: 0

Evaluating the Interrelationships of Industrial 5.0 Development Factors Using an Integration Approach of Fermatean Fuzzy Logic 利用费尔马特模糊逻辑整合方法评估工业 5.0 发展因素的相互关系

Journal of Operations Intelligence Pub Date : 2024-01-23 DOI: 10.31181/jopi21202416

Huai-Wei Lo, H. Chan, Jhe-Wei Lin, Sheng-Wei Lin

{"title":"Evaluating the Interrelationships of Industrial 5.0 Development Factors Using an Integration Approach of Fermatean Fuzzy Logic","authors":"Huai-Wei Lo, H. Chan, Jhe-Wei Lin, Sheng-Wei Lin","doi":"10.31181/jopi21202416","DOIUrl":"https://doi.org/10.31181/jopi21202416","url":null,"abstract":"The maturation of the Industry 4.0 concept has brought numerous benefits to human society. However, it is not without its challenges, including neglect of worker welfare, vulnerability of global supply chains, and environmental degradation. To enhance the adaptability of the Industry 4.0 concept, Industry 5.0 has been developed. As of now, the practical implementation of Industry 5.0 has not yet been fully realized. This paper presents a novel conceptual framwork to analyze and evaluate the complex interrelationships of development factors in Industrial 5.0. Through extensive literature review and prolonged interviews with experts, three critical dimensions and their 18 key factors for the development of Industry 5.0 have been identified. Herein, a combination of Fermatean Fuzzy sets (FFs) and Decision-Making Trial and Evaluation Laboratory (DEMATEL) has been employed to discern the interrelationships among these factors, and an Influential Network Relationship Map (INRM) has been constructed to aid decision-makers in formulating improvement strategies. The results indicate that “Sustainable Development” is the most influential dimension, with factors “Renewable Energy,” “Data-Driven Analysis Technologies,” and “Distributed Control” emerging as the most significant factors within their respective dimensions.","PeriodicalId":515345,"journal":{"name":"Journal of Operations Intelligence","volume":"103 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139605843","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

A Fermatean Fuzzy ORESTE Method For Evaluating The Resilience of the Food Supply Chain 评估食品供应链复原力的 Fermatean Fuzzy ORESTE 方法

Journal of Operations Intelligence Pub Date : 2024-01-12 DOI: 10.31181/jopi2120249

Yi Wang, Xiao Han, Weizhong Wang

{"title":"A Fermatean Fuzzy ORESTE Method For Evaluating The Resilience of the Food Supply Chain","authors":"Yi Wang, Xiao Han, Weizhong Wang","doi":"10.31181/jopi2120249","DOIUrl":"https://doi.org/10.31181/jopi2120249","url":null,"abstract":"To study the resilience and driving factors of key players in the food supply chain, this paper applies a decision model based on the Fermatean fuzzy set and improved ORESTE method. Firstly, based on the existing research on food supply chain resilience, the risk influencing factors affecting food supply chain resilience is established through a literature review. Secondly, Fermatean fuzzy sets are used to express and integrate uncertain information, calculate the membership and non-membership degrees of the factors affecting the resilience risk of the food supply chain, and then calculate the score function to obtain the weight of the influencing factors and the risk weight of alternatives. Finally, the improved ORESTE method is used to rank key players, thereby identifying key players in the food supply chain that affect resilience. The results show that transportation and logistics failures, government regulation, and diseases are the three important risk factors with the highest weight coefficient, while water system failure is the least important risk factor. Among the key players, farmers and food processors are considered the most vulnerable key players in the food supply chain, while the most resilient key players are supermarkets and food wholesalers.","PeriodicalId":515345,"journal":{"name":"Journal of Operations Intelligence","volume":" 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139624490","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