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Relevant bibliographies by topics / Neutrosophic multi-attribute decision-making

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Academic literature on the topic 'Neutrosophic multi-attribute decision-making'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Neutrosophic multi-attribute decision-making"

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Bo, Chunxin, Xiaohong Zhang, and Songtao Shao. "Non-Dual Multi-Granulation Neutrosophic Rough Set with Applications." Symmetry 11, no. 7 (2019): 910. http://dx.doi.org/10.3390/sym11070910.

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Multi-attribute decision-making (MADM) is a part of management decision-making and an important branch of the modern decision theory and method. MADM focuses on the decision problem of discrete and finite decision schemes. Uncertain MADM is an extension and development of classical multi-attribute decision making theory. When the attribute value of MADM is shown by neutrosophic number, that is, the attribute value is complex data and needs three values to express, it is called the MADM problem in which the attribute values are neutrosophic numbers. However, in practical MADM problems, to minim

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Jiang, Wen, Zihan Zhang, and Xinyang Deng. "Multi-Attribute Decision Making Method Based on Aggregated Neutrosophic Set." Symmetry 11, no. 2 (2019): 267. http://dx.doi.org/10.3390/sym11020267.

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Multi-attribute decision-making refers to the decision-making problem of selecting the optimal alternative or sorting the scheme when considering multiple attributes, which is widely used in engineering design, economy, management and military, etc. But in real application, the attribute information of many objects is often inaccurate or uncertain, so it is very important for us to find a useful and efficient method to solve the problem. Neutrosophic set is proposed from philosophical point of view to handle inaccurate information efficiently, and a single-valued neutrosophic set (SVNS) is a s

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R. Ramesh. "Application of Neutrosophic Sets in Multi Attribute Decision Making." Communications on Applied Nonlinear Analysis 32, no. 9s (2025): 2635–49. https://doi.org/10.52783/cana.v32.4545.

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The selection of an optimal hospital for healthcare services is a complex decision-making problem due to the involvement of multiple, often conflicting, criteria such as quality of care, infrastructure, staff expertise, cost, and patient satisfaction. This paper presents an innovative approach for hospital selection using a hybrid decision-making framework combining neutrosophic sets, entropy weight, and the Multi-Attribute Decision-Making (MADM) method. Neutrosophic sets are employed to handle the inherent uncertainty and indeterminacy in hospital evaluation criteria, allowing for more flexib

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R, Radha, and Stanis Arul Mary A. "Improved correlation coe_cients of quadripartitioned neutrosophic pythagorean sets for madm." Journal of Computational Mathematica 5, no. 1 (2021): 142–53. http://dx.doi.org/10.26524/cm101.

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Quadripartitioned single valued Neutrosophic Pythagorean Sets is a improvisation of Wang's single valued neutrosophic sets. In this paper we have studied. The improved correlation coefficient of Quadripartitioned Neutrosophic Pythagorean Sets and investigate it's properties. Further,we have applied the concept of multi attribute decision making methods with quadripartitioned neutrosophic pythagorean environment. Finally we illustrated an example with above proposed method to the multiple attribute decision making problems

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Yang, Hai-Long, Yan-Ling Bao, and Zhi-Lian Guo. "Generalized interval neutrosophic rough sets and its application in multi-attribute decision making." Filomat 32, no. 1 (2018): 11–33. http://dx.doi.org/10.2298/fil1801011y.

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Neutrosophic set (NS) was originally proposed by Smarandache to handle indeterminate and inconsistent information. It is a generalization of fuzzy sets and intuitionistic fuzzy sets. Wang and Smarandache proposed interval neutrosophic sets (INS) which is a special case of NSs and would be extensively applied to resolve practical issues. In this paper, we put forward generalized interval neutrosophic rough sets based on interval neutrosophic relations by combining interval neutrosophic sets with rough sets. We explore the hybrid model through constructive approach as well as axiomatic approach.

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Fan, Jianping, Shanshan Zhai, and Meiqin Wu. "PT-MARCOS multi-attribute decision-making method under neutrosophic cubic environment." Journal of Intelligent & Fuzzy Systems 42, no. 3 (2022): 1737–48. http://dx.doi.org/10.3233/jifs-211189.

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Neutrosophic cubic set (NCS) can process complex information by combining interval neutrosophic set and single-valued neutrosophic set. It can simultaneously describe the uncertain and certain part of information. Prospect theory (PT) is based on bounded rationality and can reflect decision maker’s different risk attitudes to gains and losses. Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS) method can measure and rank the alternatives according to compromise solution. Considering the bounded rationality of decision makers and compromise solution of alternative

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Liu, Jianbo, Yanan Chen, Ziyue Chen, and Yanyan Zhang. "Multi-Attribute Decision Making Method Based on Neutrosophic Vague N-Soft Sets." Symmetry 12, no. 5 (2020): 853. http://dx.doi.org/10.3390/sym12050853.

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This paper proposes neutrosophic vague N-soft sets which is composed of neutrosophic vague sets and N-soft sets for the first time. The new hybrid model includes a pair of asymmetric functions: truth-membership and false-membership, and an indeterminacy-membership function. Some useful operations and propositions are given and illustrated by examples. Moreover, a method of priority relation ranking based on neutrosophic vague N-soft sets is presented. The validity of the method is verified by comparison. It is more flexible and reasonable to use this method in our daily life. Finally, a potent

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Hong, Yanran, Dongsheng Xu, Kaili Xiang, Han Qiao, Xiangxiang Cui, and Huaxiang Xian. "Multi-Attribute Decision-Making Based on Preference Perspective with Interval Neutrosophic Sets in Venture Capital." Mathematics 7, no. 3 (2019): 257. http://dx.doi.org/10.3390/math7030257.

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Fuzzy information in venture capital can be well expressed by neutrosophic numbers, and TODIM method is an effective tool for multi-attribute decision-making. The distance measure is an essential step in TODIM method. The keystone of this paper is to define several new distance measures, in particular the improved interval neutrosophic Euclidean distance, and these measures are applied in the TODIM method for multi-attribute decision-making. Firstly, the normalized generalized interval neutrosophic Hausdorff distance is defined and proved to be valid in this paper. Secondly, we define a weight

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NAFEI, Amir Hossein, Wenjun YUAN, and Hadi NASSERI. "Group Multi-Attribute Decision Making Based on Interval Neutrosophic Sets." Studies in Informatics and Control 28, no. 3 (2019): 309–16. http://dx.doi.org/10.24846/v28i3y201907.

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Quek, Shio Gai, Ganeshsree Selvachandran, Florentin Smarandache, et al. "Entropy Measures for Plithogenic Sets and Applications in Multi-Attribute Decision Making." Mathematics 8, no. 6 (2020): 965. http://dx.doi.org/10.3390/math8060965.

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Plithogenic set is an extension of the crisp set, fuzzy set, intuitionistic fuzzy set, and neutrosophic sets, whose elements are characterized by one or more attributes, and each attribute can assume many values. Each attribute has a corresponding degree of appurtenance of the element to the set with respect to the given criteria. In order to obtain a better accuracy and for a more exact exclusion (partial order), a contradiction or dissimilarity degree is defined between each attribute value and the dominant attribute value. In this paper, entropy measures for plithogenic sets have been intro

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Book chapters on the topic "Neutrosophic multi-attribute decision-making"

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Binu, R., and Paul Isaac. "Multi-Attribute Neutrosophic Decision-Making in Dosimetric Assessment of Radiotherapy Imaging Techniques." In Neutrosophic Operational Research. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-57197-9_28.

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Aydemir, Salih Berkan, and Tugba Kaya. "TOPSIS Method for Multi-Attribute Group Decision Making Based on Neutrality Aggregation Operator Under Single Valued Neutrosophic Environment: A Case Study of Airline Companies." In Neutrosophic Operational Research. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-57197-9_22.

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Subasri, S., S. Arul Roselet Meryline, and Felbin C. Kennedy. "Role of Single Valued Linear Octagonal Neutrosophic Numbers in Multi-attribute Decision-Making Problems." In Synergies in Analysis, Discrete Mathematics, Soft Computing and Modelling. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7014-6_14.

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Yong, Rui, and Jun Ye. "Multiple Attribute Projection Methods with Neutrosophic Sets." In Fuzzy Multi-criteria Decision-Making Using Neutrosophic Sets. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00045-5_23.

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Roy, Rumi, Surapati Pramanik, and Tapan Kumar Roy. "Interval Rough Neutrosophic TOPSIS Strategy for Multi-Attribute Decision Making." In Neutrosophic Sets in Decision Analysis and Operations Research. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2555-5.ch005.

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In this chapter, the authors present a new strategy for multi-attribute decision making in interval rough neutrosophic environment. They define Hamming distance and Euclidean distance between interval rough neutrosophic numbers. They also define interval rough neutrosophic relative positive ideal solution (IRNRPIS) and interval rough neutrosophic relative negative ideal solution (IRNRNIS). Then the ranking order of the alternatives is obtained by the technique for order preference by similarity to ideal solution (TOPSIS) strategy. Finally, a numerical example is provided to demonstrate the app

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Ding, Juanjuan, Wenhui Bai, Chao Zhang, Deyu Li, and Said Broumi. "A New Neutrosophic Multigranulation Model for Multi-Attribute Group Decision Making." In Handbook of Research on Advances and Applications of Fuzzy Sets and Logic. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-7979-4.ch024.

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Neutrosophic theories and methods are suitable for handling a variety of uncertain information, especially in complex decision-making situations. Nowadays, how to study multi-attribute group decision-making (MAGDM) problems in neutrosophic environments is a vital task for scholars and practitioners. Granular computing is a popular mathematical framework for uncertain problems, and it has been proved as a useful tool for solving MAGDM problems. In this chapter, a new neutrosophic multigranulation model for MAGDM is proposed, and some theoretical models and decision-making algorithms are present

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Said, Broumi, and Florentin Smarandache. "Multi-Attribute Decision Making Based on Interval Neutrosophic Trapezoid Linguistic Aggregation Operators." In Handbook of Research on Generalized and Hybrid Set Structures and Applications for Soft Computing. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9798-0.ch017.

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Multi-attribute decision making (MADM) play an important role in many applications, due to the efficiency to handle indeterminate and inconsistent information, interval neutrosophic sets is widely used to model indeterminate information. In this paper, a new MADM method based on interval neutrosophic trapezoid linguistic weighted arithmetic averaging aggregation (INTrLWAA) operator and interval neutrosophic trapezoid linguistic weighted geometric aggregation (INTrLWGA) operatoris presented. A numerical example is presented to demonstrate the application and efficiency of the proposed method.

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Vershinia. S, Ancy, Mohana K,, and Radhika V. R. "NEUTROSOPHIC VAGUE DECISION MAKING MODEL SELECTION OF EDUCATIONAL STREAM FOR HIGHER EDUCATION." In Recent Trends in Fuzzy Set Theory and its Applications. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/nbennurch286.

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The paper introduces a neutrosophic vague decision-making paradigm for selecting a course in higher education. It suggests that parents should choose a course that best meets their child's needs, considering the growing number of options available. The research develops a decisionmaking model using neutrosophic vague multi-attribute decision-making with interval weight information. The model's efficacy is demonstrated through a numerical example

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Pramanik, Surapati, and Rama Mallick. "Extended GRA-Based MADM Strategy With Single-Valued Trapezoidal Neutrosophic Numbers." In Neutrosophic Sets in Decision Analysis and Operations Research. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2555-5.ch008.

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Multi-attribute decision-making(MADM) strategy has been proposed to handle uncertain decision-making problems. The most extensively used models of grey system theory is grey relational analysis (GRA). This strategy was flourished by Chinese Professor J. Deng. This strategy also known as Deng's grey incidence analysis model. GRA uses a generic concept of intelligence. It describes any circumstance as no information as black and perfect information as white. Nevertheless, these idealized situations appear in real-world problems. In this chapter, the authors extend GRA strategy for multi-attribut

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Polat, Yadigar, and Irfan Deli. "A TOPSIS Method Under SVTN-Numbers Based on Multi-Attribute Decision-Making Problems." In Neutrosophic Sets in Decision Analysis and Operations Research. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2555-5.ch001.

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Ranking of single valued trapezoidal neutrosophic numbers (SVTN-Numbers) plays a vital role in decision making and other single valued trapezoidal neutrosophic applications. In this chapter, the authors propose a new ranking method of SVTN-Numbers based on distance measure. Firstly, a new distance measure based on cut sets of SVTN-Numbers is developed. Secondly, some desired proportions and results of the distance measure are examined. Finally, the SVTN-Number method based on distance measure is given, and the effectiveness of our algorithm through a numerical example is illustrated.

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Conference papers on the topic "Neutrosophic multi-attribute decision-making"

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Zeng, Shou-Zhen, Wen-Di Chen, and Shyi-Ming Chen. "An Extended Single-Valued Neutrosophic EDAS Model for Multi-Attribute Decision-Making and Its Application to Innovation Capability Evaluation." In 2023 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2023. http://dx.doi.org/10.1109/icmlc58545.2023.10328002.

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