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Linguistic Single-Valued Neutrosophic Power Aggregation Operators and Their Applications to Group Decision-Making Problems

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IEEE/CAA Journal of Automatica Sinica 2020年第2期7卷 546-558页

作者： harish garg Nancy School of Mathematics Thapar Institute of Engineering & Technology Deemed University

Linguistic single-valued neutrosophic set(LSVNS)is a more reliable tool,which is designed to handle the uncertainties of the situations involving the qualitative *** the present manuscript,we introduce some power aggregation operators(AOs)for the LSVNSs,whose purpose is to diminish the influence of inevitable arguments about the decision-making *** it,first we develop some averaging power operators,namely,linguistic single-valued neutrosophic(LSVN)power averaging,weighted average,ordered weighted average,and hybrid averaging AOs along with their desirable ***,we extend it to the geometric power AOs for *** on the proposed work;an approach to solve the group decision-making problems is given along with the numerical ***,a comparative study and the validity tests are present to discuss the reliability of the proposed operators.

关键词： Aggregation operator(AO) group decision making linguistic neutrosophic numbers neutrosophic set power operators

Comparison of wear behavior of ABS and Nylon6-Fe powder composite parts prepared with fused deposition modelling

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Journal of Central South University 2015年第10期22卷 3705-3711页

作者： harish Kumar garg Rupinder Singh Punjab Technical University Guru Nanak Dev Engineering College

Fused deposition modeling(FDM) is one of the latest rapid prototyping techniques in which parts can be manufactured at a fast pace and are manufactured with a high accuracy. This research work is carried out to study the friction and wear behavior of parts made of newly developed Nylon6-Fe composite material by FDM. This work also involves the comparison of the friction and wear characteristics of the Nylon6-Fe composite with the existing acrylonitrile butadiene styrene(ABS) filament of the FDM machine. This Is carried out on the pin on disk setup by varying the load(5, 10, 15 and 20 N) and speed(200 and 300 r/min). It is concluded that the newly developed composite is highly wear resistant and can be used in industrial applications where wear resistance is of paramount importance. Morphology of the surface in contact with the Nylon6-Fe composite and ABS is also carried out.

关键词：复合材料部件磨损行为尼龙6 ABS Fe粉性能比较沉积模型部分熔融

Multi-objective linear fractional inventory model with possibility and necessity constraints under generalised intuitionistic fuzzy set environment

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CAAI Transactions on Intelligence Technology 2019年第3期4卷 175-181页

作者： Totan Garai harish garg Department of Mathematics Silda Chandra Sekhar CollegeJhargram-721515West BengalIndia School of Mathematics Thapar Institute of Engineering&TechnologyDeemed UniversityPatiala-147004PunjabIndia

This study presented a multi-objective linear fractional inventory (LFI) problem with generalised intuitionistic fuzzy numbers. In modelling, the authors have assumed the ambiances where generalised trapezoidal intuitionistic fuzzy numbers (GTIFNs) used to handle the uncertain information in the data. Then, the given multi-objective generalised intuitionistic fuzzy LFI model was transformed into its equivalent deterministic linear fractional programming problem by employing the possibility and necessity measures. Finally, the applicability of the model is demonstrated with a numerical example and the sensitivity analysis under several parameters is investigated to explore the study.

关键词： Multi-objective linear fractional inventory model possibility and necessity constraints generalised intuitionistic fuzzy set environment

Comments on ＂Some new distance measures for type-2 fuzzy sets and distance measure based ranking for group decision making problems＂

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Frontiers of Computer Science 2018年第2期12卷 396-400页

作者： Sukhveer SINGH harish garg School of Mathematics Thapar University Patiala 147004 India

In this article, we have pointed out that some propositions corresponding to the distance measure between the type-2 fuzzy sets （T2FSs） as provided by Singh （Frontiers of Computer Science, 2014, 8（5）, 741-752）, are incorrect by a counterexample. Further, these propositions have been corrected in the present manuscript by giving a correct relation between the T2FSs and validating it with a numerical example.

关键词： type-2 fuzzy set distance measure incorrect assertion counterexample

CHFS: Complex hesitant fuzzy sets‐their applications to decision making with different and innovative distance measures

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CAAI Transactions on Intelligence Technology 2021年第1期6卷 93-122页

作者： harish garg Tahir Mahmood Ubaid ur Rehman Zeeshan Ali School of Mathematics Thapar Institute of Engineering and TechnologyDeemed UniversityPatialaPunjabIndia Department of Mathematics and Statistics International Islamic UniversityIslamabadPakistan

The objective of the authors is to establish an innovative concept of the complex hesitant fuzzy set(CHFS),which is the combination of the hesitant fuzzy set and the complex fuzzy set to manage complex and awkward information in the real‐decision *** structure and the basic properties of the proposed set are studied in *** on the internal structure of the set and to find the degree of the discrimination between the pairs of the CHFSs,the generalized distance measures and modified generalized distance measures are *** properties and their relationship between them are derived in ***,several cases of the proposed measures are exposed which reduce them to the existing ***,based on these proposed measures,a decision‐making approach is established under the uncertain environment and several numerical examples are given to examine the feasibility and validity of the explored ***,the credibility of the modified and parameterized distance measures based on CHFSs is verified by comparing them with some existing measures.

关键词： theory. verified validity

Multi-Criteria Decision Making Based on Bipolar Picture Fuzzy Operators and New Distance Measures

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Computer Modeling in Engineering & Sciences 2021年第5期127卷 771-800页

作者： Muhammad Riaz harish garg Hafiz Muhammad Athar Farid Ronnason Chinram Department of Mathematics University of the PunjabLahore54590Pakistan School of Mathematics Thapar Institute of Engineering and Technology(Deemed University)Patiala147004India Algebra and Applications Research Unit Division of Computational ScienceFaculty of SciencePrince of Songkla UniversityHat YaiSongkhla90110Thailand Centre of Excellence in Mathematics Bangkok10400Thailand

This paper aims to introduce the novel concept of the bipolar picture fuzzy set(BPFS)as a hybrid structure of bipolar fuzzy set(BFS)and picture fuzzy set(PFS).BPFS is a new kind of fuzzy sets to deal with bipolarity(both positive and negative aspects)to each membership degree(belonging-ness),neutral membership(not decided),and non-membership degree(refusal).In this article,some basic properties of bipolar picture fuzzy sets(BPFSs)and their fundamental operations are *** score function,accuracy function and certainty function are suggested to discuss the comparability of bipolar picture fuzzy numbers(BPFNs).Additionally,the concept of new distance measures of BPFSs is presented to discuss geometrical properties of *** the context of BPFSs,certain aggregation operators(AOs)named as“bipolar picture fuzzy weighted geometric(BPFWG)operator,bipolar picture fuzzy ordered weighted geometric(BPFOWG)operator and bipolar picture fuzzy hybrid geometric(BPFHG)operator”are defined for information aggregation of *** on the proposed AOs,a new multicriteria decision-making(MCDM)approach is proposed to address uncertain real-life ***,a practical application of proposed methodology is also illustrated to discuss its feasibility and applicability.

关键词： Bipolar picture fuzzy set aggregation operators distance measures pattern recognition MCDM

Optimal Reordering Trace Files for Improving Software Testing Suitcase

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Computers, Materials & Continua 2021年第4期67卷 1225-1239页

作者： Yingfu Cai Sultan Noman Qasem harish garg Hamïd Parvïn Kim-Hung Pho Zulkefli Mansor School of Measurement and Communication Harbin University of Science&TechnologyHarbinChina Computer Science Department College of Computer and Information SciencesAl Imam Mohammad Ibn Saud Islamic University(IMSIU)RiyadhSaudi Arabia Department of Computer Science Faculty of Applied ScienceTaiz UniversityTaizYemen School of Mathematics Thapar Institute of Engineering and TechnologyDeemed UniversityPatiala147004India Institute of Research and Development Duy Tan UniversityDa Nang550000Vietnam Faculty of Information Technology Duy Tan UniversityDa Nang550000Vietnam Department of Computer Science Nourabad Mamasani BranchIslamic Azad UniversityMamasaniIran Fractional Calculus Optimization and Algebra Research GroupFaculty of Mathematics and StatisticsTon Duc Thang UniversityHo Chi Minh CityVietnam Fakulti Teknologi dan Sains Maklumat Universiti Kebangsan MalaysiaUKM BangiSelangor43600Malaysia

An invariant can be described as an essential relationship between program *** invariants are very useful in software checking and *** tools that are used to detect invariants are invariant *** are two types of invariant detectors:dynamic invariant detectors and static invariant *** software is an available computer program that implements a special case of a dynamic invariant detection *** proposes a dynamic invariant detection algorithm based on several runs of the tested program;then,it gathers the values of its variables,and finally,it detects relationships between the variables based on a simple statistical *** method has some *** of its biggest drawbacks is its overwhelming time *** is observed that the runtime for the Daikon invariant detection tool is dependent on the ordering of traces in the trace file.A mechanism is proposed in order to reduce differences in adjacent trace *** is done by applying some special techniques of mutation/crossover in genetic algorithm(GA).An experiment is run to assess the benefits of this *** findings reveal that the runtime of the proposed dynamic invariant detection algorithm is superior to the main approach with respect to these improvements.

关键词： Dynamic invariant detection software testing genetic algorithm

Dealing with Imbalanced Dataset Leveraging Boundary Samples Discovered by Support Vector Data Description

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Computers, Materials & Continua 2021年第3期66卷 2691-2708页

作者： Zhengbo Luo Hamïd Parvïn harish garg Sultan Noman Qasem Kim-Hung Pho Zulkefli Mansor Graduate School of Information Production and SystemsWaseda UniversityTokyoJapan Institute of Research and Development Duy Tan UniversityDa Nang550000Vietnam Faculty of Information Technology Duy Tan UniversityDa Nang550000Vietnam Department of Computer Science Nourabad Mamasani BranchIslamic Azad UniversityMamasaniIran School of Mathematics Thapar Institute of Engineering and TechnologyDeemed UniversityPatialaPunjab147004India Computer Science Department College of Computer and Information SciencesAl Imam Mohammad Ibn Saud Islamic UniversityRiyadhSaudi Arabia Computer Science Department Faculty of Applied ScienceTaiz UniversityTaizYemen Fractional Calculus Optimization and Algebra Research GroupFaculty of Mathematics and StatisticsTon Duc Thang UniversityHo Chi Minh CityVietnam Fakulti Teknologi dan Sains Maklumat Universiti Kebangsaan MalaysiaSelangorMalaysia

These days,imbalanced datasets,denoted throughout the paper by ID,(a dataset that contains some(usually two)classes where one contains considerably smaller number of samples than the other(s))emerge in many real world problems(like health care systems or disease diagnosis systems,anomaly detection,fraud detection,stream based malware detection systems,and so on)and these datasets cause some problems(like under-training of minority class(es)and over-training of majority class(es),bias towards majority class(es),and so on)in classification process and ***,these datasets take the focus of many researchers in any science and there are several solutions for dealing with this *** main aim of this study for dealing with IDs is to resample the borderline samples discovered by Support Vector Data Description(SVDD).There are naturally two kinds of resampling:Under-sampling(U-S)and oversampling(O-S).The O-S may cause the occurrence of over-fitting(the occurrence of over-fitting is its main drawback).The U-S can cause the occurrence of significant information loss(the occurrence of significant information loss is its main drawback).In this study,to avoid the drawbacks of the sampling techniques,we focus on the samples that may be *** data points that can be misclassified are considered to be the borderline data points which are on border(s)between the majority class(es)and minority class(es).First by SVDD,we find the borderline examples;then,the data resampling is applied over *** the next step,the base classifier is trained on the newly created ***,we compare the result of our method in terms of Area Under Curve(AUC)and F-measure and G-mean with the other state-of-the-art *** show that our method has betterresults than the other state-of-the-art methods on our experimental study.

关键词： Imbalanced learning classification borderline examples

Cubic q-Rung Orthopair Fuzzy Linguistic Set and Their Application to Multiattribute Decision-making with Muirhead Mean Operator

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Journal of Artificial Intelligence and Technology 2021年第1期1卷 37-50页

作者： harish garg Tahir Mahmood Jabbar Ahmmad Qaisar Khan Zeeshan Ali School of Mathematics Thapar Institute of Engineering and TechnologyDeemed UniversityPatiala 147004PunjabIndia Department of Mathematics and Statistics International Islamic UniversityIslamabadPakistan Department of Mathematics Northern UniversityNowsheraPakistan

The objective of this paper is to present a new concept,named cubic q-rung orthopair fuzzy linguistic set(Cq-ROFLS),to quantify the uncertainty in the *** proposed Cq-ROFLS is a qualitative form of cubic q-rung orthopair fuzzy set,where membership degrees and nonmembership degrees are represented in terms of linguistic *** basic notions of Cq-ROFLS have been introduced and study their basic operations and ***,to aggregate the different pairs of preferences,we introduce the Cq-ROFL Muirhead mean-(MM),weighted MM-,dual MM-based *** major advantage of considering the MM is that it considers the interrelationship between more than two arguments at a *** the other hand,the Cq-ROFLS has the ability to describe the qualitative information in terms of linguistic *** properties and relation of the derived operators are *** addition,we also investigate multiattribute decision-making problems under the Cq-ROFLS environment and illustrate with a numerical ***,the effectiveness and advantages of the work are established by comparing with other methods.

关键词： cubic q-rung orthopair fuzzy linguistic set Muirhead mean operators multiattribute decision-making