Faruk Karaaslan, Naim Cagman, Saban Yilmaz
In this work, we present definition of intuitionistic fuzzy parameterized (IFP) intuitionistic fuzzy soft set and its operations. Then we define IFP-aggregation operator to form IFP-intuitionistic fuzzy soft-decision-making method which allows constructing more efficient decision processes.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
继续探索
A New Random Forest Ensemble of Intuitionistic Fuzzy Decision Trees
本文提出基于直觉模糊决策树的随机森林集成方法IFRF，利用直觉模糊信息增益和犹豫度处理提升分类性能，实验证明其优于现有模糊与集成算法。
The superiority and inferiority ranking (SIR) method is a generation of the well-known PROMETHEE method, which can be more efficient to deal with multi-criterion decision making (MCDM) problem. Intuitionistic fuzzy sets (IFSs), as an important extension of fuzzy sets (IFs), include both membership functions and non-membership functions and can be used to, more precisely describe uncertain information. In real world, decision situations are usually under uncertain environment and involve multiple individuals who have their own points of view on handing of decision problems. In order to solve un…
In order to involve user knowledge in determining equality of sets, which may not be equal in the mathematical sense, three types of approximate (rough) equalities were introduced by Novotny and Pawlak ([8, 9, 10]). These notions were generalized by Tripathy, Mitra and Ojha ([13]), who introduced the concepts of approximate (rough) equivalences of sets. Rough equivalences capture equality of sets at a higher level than rough equalities. More properties of these concepts were established in [14]. Combining the conditions for the two types of approximate equalities, two more approximate equaliti…
A New Approach to Intuitionistic Fuzzy Decision Making Based on Projection Technology and Cosine Similarity Measure
本文针对多属性决策和医疗诊断问题，提出一种同时考虑方向与长度的基于投影技术和余弦相似性度量的直觉模糊集新相似性度量方法，能有效识别最优方案并快速诊断疾病。
The paper presents an extension of Shannon fuzzy entropy for intuitionistic fuzzy one. Firstly, we presented a new formula for calculating the distance and similarity of intuitionistic fuzzy information. Then, we constructed measures for information features like score, certainty and uncertainty. Also, a new concept was introduced, namely escort fuzzy information. Then, using the escort fuzzy information, Shannon's formula for intuitionistic fuzzy information was obtained. It should be underlined that Shannon's entropy for intuitionistic fuzzy information verifies the four defining conditions …
We prove that the space of intuitionistic fuzzy values (IFVs) with a linear order based on a score function and an accuracy function has the same algebraic structure as the one induced by a linear order based on a similarity function and an accuracy function. By introducing a new operator for IFVs via the linear order based on a score function and an accuracy function, we show that such an operator is a strong negation on IFVs. Moreover, we observe that the space of IFVs is a complete lattice and a Kleene algebra with the new operator. We also demonstrate that the topological space of IFVs wit…
Evaluating Evidential Reliability In Pattern Recognition Based On Intuitionistic Fuzzy Sets
针对Dempster-Shafer理论中证据源可靠性估计及高冲突处理下分类效率不足的问题，结合直觉模糊集提出模糊可靠性指数FRI算法，通过量化BPA对正确决策的贡献推导可靠性，经对比验证其优越性与泛化性，为相关研究提供新视角。
A Hypervolume Based Approach to Rank Intuitionistic Fuzzy Sets and Its Extension to Multi-criteria Decision Making Under Uncertainty
本文证明了非线性距离函数下直觉模糊集距离排序假设的缺陷，提出基于超体积的排序方法及多准则决策扩展HVAS，并应用于土耳其能源评估与TOPSIS等方法比较。
Feasible strategies for conflict resolution within intuitionistic fuzzy preference-based conflict situations
本文提出了一种基于直觉模糊偏好的冲突情境模型，通过更精细的粒度捕捉冲突本质，并开发了相应的冲突度量和调整机制，以提高冲突解决的可行性。
In this book we introduce the plithogenic set (as generalization of crisp, fuzzy, intuitionistic fuzzy, and neutrosophic sets), plithogenic logic (as generalization of classical, fuzzy, intuitionistic fuzzy, and neutrosophic logics), plithogenic probability (as generalization of classical, imprecise, and neutrosophic probabilities), and plithogenic statistics (as generalization of classical, and neutrosophic statistics). Plithogenic Set is a set whose elements are characterized by one or more attributes, and each attribute may have many values. An attribute value v has a corresponding (fuzzy, …
A Dynamic Survey of Fuzzy, Intuitionistic Fuzzy, Neutrosophic, Plithogenic, and Extensional Sets
本文系统回顾了模糊、直觉模糊、邻域模糊和多维模糊集的理论发展，旨在通过统一阐述激发新的研究思路和应用扩展。
Researchers are increasingly focusing on intelligent games as a hot research area.The article proposes an algorithm that combines the multi-attribute management and reinforcement learning methods, and that combined their effect on wargaming, it solves the problem of the agent's low rate of winning against specific rules and its inability to quickly converge during intelligent wargame training.At the same time, this paper studied a multi-attribute decision making and reinforcement learning algorithm in a wargame simulation environment, and obtained data on red and blue conflict.Calculate the we…
The Interval-valued intuitionistic fuzzy sets (IVIFSs) based on the intuitionistic fuzzy sets combines the classical decision method is in its research and application is attracting attention. After comparative analysis, there are multiple classical methods with IVIFSs information have been applied into many practical issues. In this paper, we extended the classical EDAS method based on cumulative prospect theory (CPT) considering the decision makers (DMs) psychological factor under IVIFSs. Taking the fuzzy and uncertain character of the IVIFSs and the psychological preference into considerati…
Data Envelopment Analysis (DEA) is a technique used to measure the efficiency of decision-making units (DMUs). In order to measure the efficiency of DMUs, the essential requirement is input-output data. Data is usually collected by humans, machines, or both. Due to human/machine errors, there are chances of having some missing values or inaccuracy, such as vagueness/uncertainty/hesitation in the collected data. In this situation, it will be difficult to measure the efficiencies of DMUs accurately. To overcome these shortcomings, a method is presented that can deal with missing values and inacc…
This study is inspired by those of Huang et al. (Soft Comput. 25, 2513--2520, 2021) and Wang et al. (Inf. Sci. 179, 3026--3040, 2009) in which some ranking techniques for interval-valued intuitionistic fuzzy numbers (IVIFNs) were introduced. In this study, we prove that the space of all IVIFNs with the relation in the method for comparing any two IVIFNs based on a score function and three types of entropy functions is a complete chain and obtain that this relation is an admissible order. Moreover, we demonstrate that IVIFNs are complete chains to the relation in the comparison method for IVIFN…
Intuitionistic Fuzzy Cognitive Maps for Interpretable Image Classification
本文提出可解释直觉模糊认知图（I2FCMs）框架用于图像分类，通过估计犹豫度评估输出质量，结合特征提取与自动学习算法减少人工干预，并使用语言术语提供可解释预测，且能应用于CNN等深度学习模型。
In this paper one presents new similarity, cardinality and entropy measures for bipolar fuzzy set and for its particular forms like intuitionistic, paraconsistent and fuzzy set. All these are constructed in the framework of multi-valued representations and are based on a penta-valued logic that uses the following logical values: true, false, unknown, contradictory and ambiguous. Also a new distance for bounded real interval was defined.
N-norm and N-conorm in Neutrosophic Logic and Set, and the Neutrosophic Topologies
本文将模糊逻辑和集合中的N-模/N-余模作为模糊逻辑和集合中的T-模/T-余模的推广。同时，作为直觉模糊拓扑的推广，我们给出了中性拓扑。
Uncertainty-Aware Ensemble Deep Randomized Neural Networks for Classification
针对现有深度随机神经网络对噪声/异常值鲁棒性不足的问题，提出IF-dRVFL与IF-edRVFL框架，通过直觉模糊理论分配样本自适应权重，在UCI、KEEL数据集上的实验验证了其性能优于现有SOTA方法。
The present paper comes across the main steps that laid from Zadeh's fuzziness ana Atanassov's intuitionistic fuzzy sets to Smarandache's indeterminacy and to Molodstov's soft sets. Two hybrid methods for assessment and decision making respectively under fuzzy conditions are also presented through suitable examples that use soft sets and real intervals as tools. The decision making method improves an earlier method of Maji et al. Further, it is described how the concept of topological space, the most general category of mathematical spaces, can be extended to fuzzy structures and how to genera…
Pythagorean fuzzy sets provide stronger ability than intuitionistic fuzzy sets to model uncertainty information and knowledge, but little effort has been paid to conflict analysis of Pythagorean fuzzy information systems. In this paper, we present three types of positive, central, and negative alliances with different thresholds, and employ examples to illustrate how to construct the positive, central, and negative alliances. Then we study conflict analysis of Pythagorean fuzzy information systems based on Bayesian minimum risk theory. Finally, we investigate group conflict analysis of Pythago…
A new fuzzy multi-attribute group decision-making method based on TOPSIS and optimization models
针对区间值直觉模糊集环境下的多属性群决策问题，提出一种基于TOPSIS和优化模型的新方法，通过建立优化模型确定专家与属性权重并计算改进贴近度指数以排序备选方案，充分发挥主客观赋权优势，经实例验证有效。
This paper presents two variants of penta-valued representation for neutrosophic entropy. The first is an extension of Kaufmann's formula and the second is an extension of Kosko's formula. Based on the primary three-valued information represented by the degree of truth, degree of falsity and degree of neutrality there are built some penta-valued representations that better highlights some specific features of neutrosophic entropy. Thus, we highlight five features of neutrosophic uncertainty such as ambiguity, ignorance, contradiction, neutrality and saturation. These five features are suppleme…
Emergences of computers and information technological revolution made tremendous changes in the real world and provides a different dimension for the intelligent data analysis. Well formed fact, the information at right time and at right place deploy a better knowledge.However, the challenge arises when larger volume of inconsistent data is given for decision making and knowledge extraction. To handle such imprecise data certain mathematical tools of greater importance has developed by researches in recent past namely fuzzy set, intuitionistic fuzzy set, rough Set, formal concept analysis and …
A Matrix-based Distance of Pythagorean Fuzzy Set and its Application in Medical Diagnosis
针对现有毕达哥拉斯模糊集距离度量方法的不足，提出一种满足距离公理的新距离度量方法，能有效区分模糊集，并在医学诊断中验证了其优越性与可行性。
A novel framework for MCDM based on Z numbers and soft likelihood function
本文针对不确定环境下多准则决策中的信息融合问题，提出一种基于Z数、模糊隶属度信息量和可信度测度的软似然函数新框架，并通过应用实例和对比实验验证其有效性与优越性。
Medical diagnosis process vary in the degree to which they attempt to deal with different complicating aspects of diagnosis such as relative importance of symptoms, varied symptom pattern and the relation between diseases them selves. Based on decision theory, in the past many mathematical models such as crisp set, probability distribution, fuzzy set, intuitionistic fuzzy set were developed to deal with complicating aspects of diagnosis. But, many such models are failed to include important aspects of the expert decisions. Therefore, an effort has been made to process inconsistencies in data b…
Circular Pythagorean fuzzy sets and applications to multi-criteria decision making
本文提出圆毕达哥拉斯模糊集作为圆直觉模糊集与毕达哥拉斯模糊集的推广，定义了集合运算、聚合算子及余弦相似度，并给出多准则决策方法，通过光伏电池选择案例验证其有效性。
扫码添加微信好友，提出您的宝贵建议 👇
💡 备注请填写：网站反馈
发表机构由 AI 从论文文本抽取，如发现错误，欢迎反馈修正建议。