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Journal articles on the topic 'Multiattribute object'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Zhang, Hongjun, Chengxiang Yin, Xiuli Qi, Rui Zhang, and Xingdang Kang. "Cognitive Best Worst Method for Multiattribute Decision-Making." Mathematical Problems in Engineering 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/1092925.

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Pairwise comparison based multiattribute decision-making (MADM) methods are widely used and studied in recent years. However, the perception and cognition towards the semantic representation for the linguistic rating scale and the way in which the pairwise comparisons are executed are still open to discuss. The commonly used ratio scale is likely to produce misapplications and the matrix based comparison style needs too many comparisons and is not able to guarantee the consistency of the matrix when the number of objects involved is large. This research proposes a new MADM method CBWM (Cogniti

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Ustinovichius, Leonas. "DETERMINATION OF EFFICIENCY OF INVESTMENTS IN CONSTRUCTION." International Journal of Strategic Property Management 8, no. 1 (2004): 25–43. http://dx.doi.org/10.3846/1648715x.2004.9637505.

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Decision making is associated with ranking problems aimed to obtain a set of preference order of solutions. People can make mistakes choosing the best object for investments. Due to high cost of such mistakes, such a choice should be well founded. A major goal of paper is to develop a theoretical basis for creating a decision support system aimed to increase building construction and reconstruction investment efficiency by applying multiattribute decision making approaches and mathematical modelling. To achieve the goal, the following problems have to be solved: to analyse new models currently

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Larichev, O. I., H. M. Moshkovich, and S. B. Rebrik. "Systematic research into human behavior in multiattribute object classification problems." Acta Psychologica 68, no. 1-3 (1988): 171–82. http://dx.doi.org/10.1016/0001-6918(88)90053-4.

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Qi, Jie, Tengfei Lin, Tao Zhao, Fangyu Li, and Kurt Marfurt. "Semisupervised multiattribute seismic facies analysis." Interpretation 4, no. 1 (2016): SB91—SB106. http://dx.doi.org/10.1190/int-2015-0098.1.

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One of the key components of traditional seismic interpretation is to associate or “label” a specific seismic amplitude package of reflectors with an appropriate seismic or geologic facies. The object of seismic clustering algorithms is to use a computer to accelerate this process, allowing one to generate interpreted facies for large 3D volumes. Determining which attributes best quantify a specific amplitude or morphology component seen by the human interpreter is critical to successful clustering. Unfortunately, many patterns, such as coherence images of salt domes, result in a salt-and-pepp

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Jin, Jing-Zhong, Yoshiteru Nakamori, and Andrzej P. Wierzbicki. "A Study on Multiattribute Aggregation Approaches to Product Recommendation." Advances in Fuzzy Systems 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/806749.

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In today’s increasingly competitive market, consumers usually have to face a huge number of products with different designs but having the same use. Therefore, an important problem for manufacturers is to attract consumers by special designs of the products. This paper aims at the improvement of a consumer-oriented approach in recommending products, and proposing a recommendation system for Japanese traditional crafts based on target-oriented fuzzy method and ontological engineering. Specifically, a target-oriented fuzzy method is used for measuring the fitness of a selected attribute to a cer

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Wu, Yanhui, Wei Wang, Guowei Zhu, and Peng Wang. "Application of seismic multiattribute machine learning to determine coal strata thickness." Journal of Geophysics and Engineering 18, no. 6 (2021): 834–44. http://dx.doi.org/10.1093/jge/gxab054.

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Abstract The coal mining industry is developing automated and intelligent coal mining processes. Accurate determination of the geological conditions of working faces is an important prerequisite for automated mining. The use of machine learning to extract comprehensive attributes from seismic data and the application of that data to determine the coal strata thickness has become an important area of research in recent years. Conventional coal strata thickness interpretation methods do not meet the application requirements of mines. Determining the coal strata thickness with machine learning so

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Ebuna, Daniel R., Jared W. Kluesner, Kevin J. Cunningham, and Joel H. Edwards. "Statistical approach to neural network imaging of karst systems in 3D seismic reflection data." Interpretation 6, no. 3 (2018): B15—B35. http://dx.doi.org/10.1190/int-2017-0197.1.

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The current lack of a robust standardized technique for geophysical mapping of karst systems can be attributed to the complexity of the environment and prior technological limitations. Abrupt lateral variations in physical properties that are inherent to karst systems generate significant geophysical noise, challenging conventional seismic signal processing and interpretation. The application of neural networks (NNs) to multiattribute seismic interpretation can provide a semiautomated method for identifying and leveraging the nonlinear relationships exhibited among seismic attributes. The ambi

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Huang, Zhili, Qinglan Chen, Liu Chen, and Qinyuan Liu. "Relative Similarity Programming Model for Uncertain Multiple Attribute Decision-Making Objects and Its Application." Mathematical Problems in Engineering 2021 (March 9, 2021): 1–16. http://dx.doi.org/10.1155/2021/6618333.

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This paper is concerned with the uncertain multiattribute decision-making (UMADM) of which the attribute value is triangular fuzzy number. Firstly, the max-relative similarity degree and min-relative similarity degree of alternative decision-making objects are given based on the relative similarity degree of triangular fuzzy number, the advantage relation theories to comparative relative similarity degree of triangular fuzzy number are proposed, and some good properties, relations, and conclusions are derived. Secondly, in order to determine the attribute weight vector, a triangular fuzzy numb

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Paganelli, Federica, and David Parlanti. "A DHT-Based Discovery Service for the Internet of Things." Journal of Computer Networks and Communications 2012 (2012): 1–11. http://dx.doi.org/10.1155/2012/107041.

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Current trends towards the Future Internet are envisaging the conception of novel services endowed with context-aware and autonomic capabilities to improve end users’ quality of life. The Internet of Things paradigm is expected to contribute towards this ambitious vision by proposing models and mechanisms enabling the creation of networks of “smart things” on a large scale. It is widely recognized that efficient mechanisms for discovering available resources and capabilities are required to realize such vision. The contribution of this work consists in a novel discovery service for the Interne

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Riaz, Muhammad, Aurang Zeb, Fawad Ali, Muhammad Naeem, and Sama Arjika. "Fermatean Cubic Fuzzy Aggregation Operators and Their Application in Multiattribute Decision-Making Problems." Journal of Function Spaces 2022 (November 30, 2022): 1–18. http://dx.doi.org/10.1155/2022/3664302.

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The purpose of aggregation methods is to convert a list of objects of a set into a single object of the same set usually by an n -arry function, so-called aggregation operator. The key features of this work are the aggregation operators, because they are based on a novel set called Fermatean cubic fuzzy set (F-CFS). F-CFS has greater spatial scope and can deal with more ambiguous situations where other fuzzy set extensions fail to support them. For this purpose, the notion of F-CFS is defined. F-CFS is the transformation of intuitionistic cubic fuzzy set (I-CFS), Pythagorean cubic fuzzy set (P

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Zhao, Gang, Jifa Wang, and Huibin Shi. "Research on Multiattribute Comprehensive Evaluation of Intelligent Judicial Decision System." Discrete Dynamics in Nature and Society 2021 (September 3, 2021): 1–8. http://dx.doi.org/10.1155/2021/5713870.

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When dealing with cases, judges must consult a large number of relevant materials and carefully consider before they can write the final judgment. So, we want to use intelligent systems to assist the judicial system in handling cases. The essence of the system is automatic text classification. The system can predict the judgment result according to the previous prediction and can also provide support for judicial judgment and individual litigation. Because the evaluation of intelligent judicial decision-making system has the characteristics of complexity and fuzziness, we establish a comprehen

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Pelletier, Gabriel, Nadav Aridan, Lesley K. Fellows, and Tom Schonberg. "A Preferential Role for Ventromedial Prefrontal Cortex in Assessing “the Value of the Whole” in Multiattribute Object Evaluation." Journal of Neuroscience 41, no. 23 (2021): 5056–68. http://dx.doi.org/10.1523/jneurosci.0241-21.2021.

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Zhang, Maoyin, Tingting Zheng, Wanrong Zheng, and Ligang Zhou. "Interval-Valued Pythagorean Hesitant Fuzzy Set and Its Application to Multiattribute Group Decision-Making." Complexity 2020 (February 13, 2020): 1–26. http://dx.doi.org/10.1155/2020/1724943.

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Pythagorean hesitant fuzzy sets are widely watched because of their excellent ability to deal with uncertainty, imprecise and vague information. This paper extends Pythagorean hesitant fuzzy environments to interval-valued Pythagorean hesitant fuzzy environments and proposes the concept of interval-valued Pythagorean hesitant fuzzy set (IVPHFS), which allows the membership of each object to be a set of several pairs of possible interval-valued Pythagorean fuzzy elements. Furthermore, we develop a series of aggregation operators for interval-valued Pythagorean hesitant fuzzy information and app

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Amilia, Suri, Muhammad Rizqi Zati, and Dhian Rosalina. "Evaluation of Consumer Attitudes: Attributes of Langsa Hutan Lindung Park Tourism Services." International Journal of Social Science and Business 7, no. 3 (2023): 570–79. http://dx.doi.org/10.23887/ijssb.v7i3.50247.

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Attitude is a combination of motivation, emotion, and perception of an aspect of an individual's life. Consumer attitude is an emotional expression of consumers that shows whether consumers like an object or not so that attitudes can describe the level of consumer confidence in products or services. Consumer attitudes on tourism service attributes describe what priority attributes are taken into consideration in choosing and visiting tourist sites. The purpose of this study is to analyze consumer attitudes towards the Langsa hutan lindung park tourism services. This research is a quantitative

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Fadilah, Arsy Nur. "Evaluation of Costumer Attitudes: Attributes Product of Mango Peel Powder." Gema Wiralodra 15, no. 2 (2024): 738–46. http://dx.doi.org/10.31943/gw.v15i2.699.

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Indramayu is the number one mango fruit producing city in West Java Province. While there has been no handling and processing of home industrial waste. This can cause serious problems in the environment. There is a need for an economic and environmentally based waste management system. One of them solution is processing mango peel waste into GOPE (mango peel) powder, products as a natural food additive to replace essence powder products and synthetic powder for food and drinks. The purpose of this study is to analyze consumer attitudes towards the mango peel powder. Consumer attitude is an emo

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Wang, Lei. "Application of a Fuzzy Information Analysis and Evaluation Method in the Development of Regional Rural e-Commerce." Advances in Multimedia 2022 (September 15, 2022): 1–10. http://dx.doi.org/10.1155/2022/4744099.

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As a new form of e-commerce, digital industry will become a tool to enhance regional competitiveness and win the allocation of resources, and its advanced degree is the standard to measure economic strength. In the process of development, countries and regions need to master their development status, so a set of digital industry evaluation index system is necessary to help various fields monitor the development status of e-commerce industry, aiming at providing more targeted services. Therefore, the establishment of regional digital industry progress index is conducive to evaluating and improv

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Holbrook, Morris B., and William J. Havlena. "Assessing the Real-to-Artificial Generalizability of Multiattribute Attitude Models in Tests of New Product Designs." Journal of Marketing Research 25, no. 1 (1988): 25–35. http://dx.doi.org/10.1177/002224378802500103.

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The authors investigate the neglected problem of generalizing from multiattribute attitude models based on data for actual brands of real products to reach conclusions on affective responses toward artificial objects or hypothetical concepts, such as those that might be used to develop new product designs. They propose an approach involving four stages of analysis to examine the intervening role of multiattribute attitude models for real products in accounting for the effects of artificial design features on affective responses. The method decomposes the overall relationship of affect to artif

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18

Wang, Yuhong, Xiaojuan Shi, Jihong Sun, and Wuyong Qian. "A Grey Interval Relational Degree-Based Dynamic Multiattribute Decision Making Method and Its Application in Investment Decision Making." Mathematical Problems in Engineering 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/607016.

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The purpose of this paper is to propose a three-dimensional grey interval relational degree model for dynamic Multiattribute decision making. In the model, the observed values are interval grey numbers. Elements are selected in the system as the points in anm-dimensional linear space. Then observation data of each element to different time and objects are as the coordinates of point. An optimization model is employed to obtain each scheme’s affiliate degree for the positive and negative ideal schemes. And a three-dimensional grey interval relational degree model based on time, index, and schem

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19

Li, Jing, Yue Sun, Lingling Gong, Nana Chai, and Yanfei Yin. "Multiattribute Fuzzy Decision Evaluation Approach and Its Application in Enterprise Competitiveness Evaluation." Mathematical Problems in Engineering 2021 (March 13, 2021): 1–11. http://dx.doi.org/10.1155/2021/8867752.

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Multiattribute decision-making approach is one of the key complex system evaluation technologies which has attracted high attention of academic research studies. This paper establishes a novel multiattribute decision evaluation approach. First, we propose a high-dimensional data attribute reduction model based on partial correlation analysis and factor analysis methods. Second, based on the attribute weights calculated by multiple weighting methods, the corresponding multiple evaluation score vectors of the objects evaluated can be obtained. The final scoring vector can be determined by combin

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Ladner, Travis R., Ashly C. Westrick, John C. Wellons, and Chevis N. Shannon. "Health-related quality of life in pediatric Chiari Type I malformation: the Chiari Health Index for Pediatrics." Journal of Neurosurgery: Pediatrics 17, no. 1 (2016): 76–85. http://dx.doi.org/10.3171/2015.5.peds1513.

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OBJECT The purpose of this study was to design and validate a patient-reported health-related quality of life (HRQOL) instrument for pediatric Chiari Type I malformation (CM-I), the Chiari Health Index for Pediatrics (CHIP). METHODS The CHIP has 45 items with 4 components making up 2 domain scores, physical (pain frequency, pain severity, nonpain symptoms) and psychosocial; physical and psychosocial scores are combined to create an overall HRQOL score. Increasing scores (0 to 1) represent increasing HRQOL. Fifty-five patients with CM-I (mean age 12 ± 4 years, 53% male) were enrolled and comple

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Wang, Xin, and Lei Zhang. "A Combined Weighting Model Based on Maximizing Deviation for Multiple Attribute Decision-Making." Advances in Materials Science and Engineering 2022 (March 15, 2022): 1–8. http://dx.doi.org/10.1155/2022/7679851.

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Multiattribute decision-making is an important part of decision-making theory and modern scientific decision-making. It is widely used in engineering design, economic management, and so on. It is an important part of modern decision science to sort decision objects when considering multiple attributes. Due to time pressure and lack of understanding of decision-making problems, it is difficult for decision makers to accurately express judgment information. Decision-makers’ judgment information is more suitable to be expressed by intuitionistic fuzzy sets rather than deterministic numbers or lin

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Doyle, J. R., R. H. Green, and W. D. Cook. "Upper and Lower Bound Evaluation of Multiattribute Objects: Comparison Models Using Linear Programming." Organizational Behavior and Human Decision Processes 64, no. 3 (1995): 261–73. http://dx.doi.org/10.1006/obhd.1995.1104.

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23

Liu, Zhege, Junxing Cao, Yujia Lu, Shuna Chen, and Jianli Liu. "A seismic facies classification method based on the convolutional neural network and the probabilistic framework for seismic attributes and spatial classification." Interpretation 7, no. 3 (2019): SE225—SE236. http://dx.doi.org/10.1190/int-2018-0238.1.

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In the early stage of oil and gas exploration, due to the lack of available drilling data, the automatic seismic facies classification technology mainly relies on the unsupervised clustering method combined with the seismic multiattribute. However, the clustering results are unstable and have no clear geologic significance. The supervised classification method based on manual interpretation can provide corresponding geologic significance, but there are still some problems such as the discrete classification results and low accuracy. To solve these problems, inspired by hyperspectral and spatia

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Li, Jian, and Wan-ming Chen. "An Improved Grey Clustering Model with Multiattribute Spatial-Temporal Feature for Panel Data and Its Application." Mathematical Problems in Engineering 2020 (January 30, 2020): 1–9. http://dx.doi.org/10.1155/2020/6761597.

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Due to the complexity and uncertainty of the objective world and the limitation of cognition, it is difficult to extract the information and rules contained in the panel data effectively based on the traditional panel data clustering method. Given this, considering that the absolute amount level, increasing amount level, and volatility level are the main indicators to represent the spatial-temporal feature of the panel data, a novel grey clustering model with the multiattribute spatial-temporal feature of panel data is established, and then it is applied in the regional high-tech industrializa

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Garg, Harish, Zeeshan Ali, Jeonghwan Gwak, Tahir Mahmood, and Sultan Aljahdali. "Some Complex Intuitionistic Uncertain Linguistic Heronian Mean Operators and Their Application in Multiattribute Group Decision Making." Journal of Mathematics 2021 (May 18, 2021): 1–31. http://dx.doi.org/10.1155/2021/9986704.

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In this paper, a new decision-making algorithm has been presented in the context of a complex intuitionistic uncertain linguistic set (CIULS) environment. CIULS integrates the concept the complex of a intuitionistic fuzzy set (CIFS) and uncertain linguistic set (ULS) to deal with uncertain and imprecise information in a more proactive manner. To investigate the interrelation between the pairs of CIULSs, we combine the concept of the Heronian mean (HM) and the complex intuitionistic uncertain linguistic (CIUL) to describe some new operators, namely, CIUL arithmetic HM (CIULAHM), CIUL weighted a

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Ullah, Kifayat. "Picture Fuzzy Maclaurin Symmetric Mean Operators and Their Applications in Solving Multiattribute Decision-Making Problems." Mathematical Problems in Engineering 2021 (October 4, 2021): 1–13. http://dx.doi.org/10.1155/2021/1098631.

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To evaluate objects under uncertainty, many fuzzy frameworks have been designed and investigated so far. Among them, the frame of picture fuzzy set (PFS) is of considerable significance which can describe the four possible aspects of expert’s opinion using a degree of membership (DM), degree of nonmembership (DNM), degree of abstinence (DA), and degree of refusal (DR) in a certain range. Aggregation of information is always challenging especially when the input arguments are interrelated. To deal with such cases, the goal of this study is to develop the notion of the Maclaurin symmetric mean (

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Khoeurt, Sopha, Chakchai So-In, Pakarat Musikawan, and Phet Aimtongkham. "Multidirectional Trust-Based Security Mechanisms for Sinkhole Attack Detection in the RPL Routing Protocol for Internet of Things." Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications 14, no. 3 (2023): 48–76. http://dx.doi.org/10.58346/jowua.2023.i3.005.

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The Internet of Things (IoT) has gained popularity in recent years by connecting physical objects to the Internet, enabling innovative applications. To facilitate communication in low-power and lossy networks (LLNs), the IPv6-based routing protocol for LLNs (RPL) is widely used. However, RPL’s lack of specified security models makes it vulnerable to security threats, particularly sinkhole attacks. Existing sinkhole attack detection techniques suffer from high detection delays and false positives. To overcome these limitations, in our research we propose a multidirectional trust-based detection

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Khan, Muhammad Rizwan, Kifayat Ullah, Qaisar Khan, and Izatmand Haleemzai. "Confidence Levels Measurement of Mobile Phone Selection Using a Multiattribute Decision-Making Approach with Unknown Attribute Weight Information Based on T-Spherical Fuzzy Aggregation Operators." Discrete Dynamics in Nature and Society 2024 (January 10, 2024): 1–18. http://dx.doi.org/10.1155/2024/6572374.

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Advancement in mobile phone (MP) technology has revolutionized the lifestyle. In recent years, we observed that MP technology had been involved in almost all aspects of life, such as communication purposes, e-commerce, mobile baking, and social media connectivity. So, it becomes a hot research topic to select the best MP that fulfills the desired feathers requirement. In this paper, the expert’s familiarity with the examined objects is factored into the initial judgments under the T-spherical fuzzy sets (T-SFSs) environment. The T-SFS is the extension of the picture fuzzy (PF) set (PFS), which

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Palley, Thomas, Victor Richmond R. Jose, Asa Palley, Ralph Keeney, and Mario Juric. "A Multiattribute Decision Model to Evaluate Potential Investments in Near-Earth Object Detection Technologies." SSRN Electronic Journal, 2023. http://dx.doi.org/10.2139/ssrn.4376034.

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Quan, Zhenhua, Wenjie Qian, and Jianhua Mao. "The impact of mascot attributes on sponsorship effectiveness the case of “Bing Dwen Dwen” at the Beijing winter Olympics." Asia Pacific Journal of Marketing and Logistics, November 21, 2023. http://dx.doi.org/10.1108/apjml-05-2023-0485.

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PurposeThe purpose of this article is to explore the relationship between the attributes of Olympic mascots and their impact on sponsorship effectiveness. Based on a multiattribute model and the introduction of engagement theory and the meaning transfer model, this article uses the 2022 Beijing Winter Olympics mascot “Bing Dwen Dwen” as the research object to empirically analyze the effects and mechanisms of the mascot's attributes on preference, event engagement, sponsorship enterprise trust and sponsorship enterprise attitude, ultimately constructing a sponsorship effectiveness model.Design/

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Hao, Xiumei, Mingwei Li, and Yuting Chen. "China's overcapacity industry evaluation based on TOPSIS grey relational projection method with mixed attributes." Grey Systems: Theory and Application ahead-of-print, ahead-of-print (2020). http://dx.doi.org/10.1108/gs-03-2020-0033.

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PurposeThis paper takes the seven overcapacity industries such as the textile industry, electricity and heat, steel, coal, automobile manufacturing, nonferrous metals and petrochemical industry as research objects and proposes a TOPSIS grey relational projection group decision method with mixed multiattributes, which is used for the ranking of the seven industries with overcapacity and provided relevant departments with a basis for decision-making.Design/methodology/approachFirst, an evaluation index system from four aspects is established. Secondly, the attributes of linguistic information ar

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