In this paper, we introduce spherical fuzzy sets (SFSs) which is an advanced tool of the sets, intuitionistic and picture sets. We investigate basic properties SFSs compare idea with The spaces membership grades pictur e are examined by graphically. Some useful operation such as t'-norms t'-conorms introduced. Also introduced negator some classifications t′-conorms for development aggregation operator to aggregate information. Finally, a food circulation center evaluation problem given...

Keeping in mind the importance and well growing Pythagorean fuzzy sets, this paper, some novel operators for sets their properties are demonstrated. In we develop a comprehensive model to tackle decision-making problems where strong points of view favour against projects, entities or plans. Therefore, new approach, based on set models by means Dombi aggregation is proposed. An approach deal with using averaging geometric established. This has stronger capability than existing averaging,...

The key objective of the proposed work in this paper is to introduce a generalized form linguistic picture fuzzy set, so-called spherical set (LSFS), combining notion and set. In LSFS we deal with vague defective information decision making. characterized by positive, neutral negative membership degree which satisfies conditions that square sum its degrees less than or equal 1. paper, investigate basic operations sets discuss some related results. We extend operational laws aggregation...

Purpose The aim of this study as to find out an approach for emergency program selection. Design/methodology/approach authors have generated six aggregation operators (AOs), namely picture fuzzy Yager weighted average (PFYWA), ordered average, hybrid geometric (PFYWG), and aggregations operators. Findings First all, the defined score accuracy function set (FS), some fundamental operational laws FS using operation. After that, developed laws, AOs, PFYWA, PFYWG, operators, been proposed along...

<abstract> <p>Diabetes mellitus is a severe, chronic disease that occurs when blood glucose levels rise above certain limits. Many complications arise if diabetes remains untreated and unidentified. Early prediction of the most high-quality way to forestall manipulate its complications. With rising incidence diabetes, machine learning deep algorithms have been increasingly used predict due their capacity care for massive complicated facts sets. This research aims develop an...

Coronavirus disease 2019 (COVID‐19) is currently threatening the entire world, and a novel coronavirus virus from corona family that has spread new infection. The number of instances this increasing at an exponential, but there are now commercially accessible COVID‐19 vaccines. weak symptoms disease, on other hand, treated with variety antiviral treatments. It still choosing optimal medicine to manage COVID‐19s. challenging difficult alternative reduce risk In study, improved combined...

It was recently proposed to extend the spherical fuzzy set credibility sets (SFCSs). In this paper, we define concept of SFCSs. We then new operational laws for SFCSs using Dombi laws. Various aggregation operators such as weighted averaging (SFCDWA), ordered (SFCDOWA), geometric (SFCDWG), and (SFCDOWG) are defined. also show boundedness, monotonicity, idempotency aspects suggested operators. entropy find unknown weight information attributes. Symmetry analysis is a useful important tool in...

The basic ideas of rough sets and intuitionistic fuzzy (IFSs) are precise statistical instruments that can handle vague knowledge easily. EDAS (evaluation based on distance from average solution) approach plays an important role in decision‐making issues, particularly when multicriteria group (MCGDM) issues have more competing criteria. purpose this paper is to introduce the Frank (IFRF‐EDAS) methodology IF averaging geometric aggregation operators. We proposed various operators such as...

With the frequent occurrence of emergency events, decision‐making (DM) plays an increasingly significant role in coping with them and has become important challenging research focus recently. It is critical for decision makers to make accurate reasonable judgments a short period as poor decisions can result enormous economic losses unstable social order. As consequence, this work offers new DM approach based on novel distance similarity measures using q ‐rung linear Diophantine fuzzy (...

In order to ensure effective hand over management, network selection is very important. The process of selecting a that offers reliable and satisfactory service the end user known as selection. Some existing approaches are utilized for selection, however, they reactive can lead erroneous conclusions due inadequate information. These methods, have drawbacks their computational complexity need excessive frequent over. Thus, we defined fractional orthotriple fuzzy Rough sets (FOFRSs), easily...

The main objective of the proposed research in this paper is introducing an extended version linguistic picture fuzzy TOPSIS technique and then solving problems enterprise resource planning systems. In article, we use uncertain information terms numbers; decision maker provides membership, neutral, nonmembership to represent assessments alternatives multicriteria making (LMCDMs). order introduce method, defined a new hamming distance measure between two numbers. Further, apply method problem...

On the basis of decision-theoretical rough sets (DTRSs), three-way decisions give new model decision approach for deal with problem decision. This proposed method is based on loss function DTRSs. First, concept fractional orthotriple fuzzy β -covering (FOF -covering) and -neighborhood -neighborhood) was introduced. We combined feature DTRSs covering-based (CFOFSs) under condition. Secondly, we a FOF-covering (FOFCDTRSs) developed related properties. Then, grade positive, neutral negative...

The aims of this study are to propose the linguistic picture fuzzy Dombi (LPFD) aggregation operators and decision-making approach deal with uncertainties in form sets. LPFD have more flexibility due general set. Utilizing operational rule, series were proposed, namely arithmetic/geometric, ordered arithmetic/ordered geometric Hybrid arithmetic/Hybrid operators. distinguished feature these proposed is studied. At that point, we used design a model multiple attribute (MADM) issues under...

The fractional orthotriple fuzzy set (FOFS) is more generalized than the spherical (SFS) and picture (PFS) to cope with awkward complex information in (FS) theory. FOFS a powerful technique respect existing drawbacks because of its conditions, i.e., sum f powers positive, neutral, negative grades bounded [0,1]. With advantages FOFS, this paper, we study basic definitions some similarity measures (SMs) intuitionistic sets (IFSs), PFSs, Pythagorean (PyFSs) SFSs. approaches have certain...

Probabilistic hesitant fuzzy Set (PHFs) is the most powerful and comprehensive idea to support more complexity than developed set (FS) frameworks. In this paper a novel improved TOPSIS-based method for multi-criteria group decision making (MCGDM) explained through probabilistic environment, in which weights of both experts criteria are completely unknown. Firstly, we discuss concept PHFs, score functions basic operating laws PHFs. fact, compute unknown weight information, generalized...

The objectives of this paper are to define novel aggregation operators (AOs) for aggregating different complex spherical fuzzy numbers (CSFNs) under the influence their membership grades. uncertainties included in information dealt with contemporary studies set and its extensions by grades, which a subset real that lose some relevant hence alter decision results. conversion these sets addresses classes’ uncertainty, whose ranges differ from specific unit disk. For purpose, we defined new CSF...

Picture fuzzy sets (PFSs) are one of the fundamental concepts for addressing uncertainties in decision problems, and they can address more compared to existing structures sets; thus, their implementation was substantial. The well-known sine trigonometric function maintains periodicity symmetry origin nature thus satisfies expectations decision-maker over multiple parameters. Taking this feature significances PFSs into consideration, main objective article is describe some reliable laws...