Process Monitoring For Gamma Distributed Product Under Neutrosophic Statistics Using Resampling Scheme


Process Monitoring For Gamma Distributed Product Under Neutrosophic Statistics Using Resampling Scheme
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Process Monitoring For Gamma Distributed Product Under Neutrosophic Statistics Using Resampling Scheme


Process Monitoring For Gamma Distributed Product Under Neutrosophic Statistics Using Resampling Scheme
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Author : Abdullah M. Almarashi
language : en
Publisher: Infinite Study
Release Date :

Process Monitoring For Gamma Distributed Product Under Neutrosophic Statistics Using Resampling Scheme written by Abdullah M. Almarashi and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


In this article, a repetitive sampling control chart for the gamma distribution under the indeterminate environment has been presented. The control chart coefficients, probability of in-control, probability of out-of-control, and average run lengths have been determined under the assumption of the symmetrical property of the normal distribution using the neutrosophic interval method.



Collected Papers Volume Xiii


Collected Papers Volume Xiii
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Author : Florentin Smarandache
language : en
Publisher: Infinite Study
Release Date : 2022-09-15

Collected Papers Volume Xiii written by Florentin Smarandache and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-15 with Mathematics categories.


This thirteenth volume of Collected Papers is an eclectic tome of 88 papers in various fields of sciences, such as astronomy, biology, calculus, economics, education and administration, game theory, geometry, graph theory, information fusion, decision making, instantaneous physics, quantum physics, neutrosophic logic and set, non-Euclidean geometry, number theory, paradoxes, philosophy of science, scientific research methods, statistics, and others, structured in 17 chapters (Neutrosophic Theory and Applications; Neutrosophic Algebra; Fuzzy Soft Sets; Neutrosophic Sets; Hypersoft Sets; Neutrosophic Semigroups; Neutrosophic Graphs; Superhypergraphs; Plithogeny; Information Fusion; Statistics; Decision Making; Extenics; Instantaneous Physics; Paradoxism; Mathematica; Miscellanea), comprising 965 pages, published between 2005-2022 in different scientific journals, by the author alone or in collaboration with the following 110 co-authors (alphabetically ordered) from 26 countries: Abduallah Gamal, Sania Afzal, Firoz Ahmad, Muhammad Akram, Sheriful Alam, Ali Hamza, Ali H. M. Al-Obaidi, Madeleine Al-Tahan, Assia Bakali, Atiqe Ur Rahman, Sukanto Bhattacharya, Bilal Hadjadji, Robert N. Boyd, Willem K.M. Brauers, Umit Cali, Youcef Chibani, Victor Christianto, Chunxin Bo, Shyamal Dalapati, Mario Dalcín, Arup Kumar Das, Elham Davneshvar, Bijan Davvaz, Irfan Deli, Muhammet Deveci, Mamouni Dhar, R. Dhavaseelan, Balasubramanian Elavarasan, Sara Farooq, Haipeng Wang, Ugur Halden, Le Hoang Son, Hongnian Yu, Qays Hatem Imran, Mayas Ismail, Saeid Jafari, Jun Ye, Ilanthenral Kandasamy, W.B. Vasantha Kandasamy, Darjan Karabašević, Abdullah Kargın, Vasilios N. Katsikis, Nour Eldeen M. Khalifa, Madad Khan, M. Khoshnevisan, Tapan Kumar Roy, Pinaki Majumdar, Sreepurna Malakar, Masoud Ghods, Minghao Hu, Mingming Chen, Mohamed Abdel-Basset, Mohamed Talea, Mohammad Hamidi, Mohamed Loey, Mihnea Alexandru Moisescu, Muhammad Ihsan, Muhammad Saeed, Muhammad Shabir, Mumtaz Ali, Muzzamal Sitara, Nassim Abbas, Munazza Naz, Giorgio Nordo, Mani Parimala, Ion Pătrașcu, Gabrijela Popović, K. Porselvi, Surapati Pramanik, D. Preethi, Qiang Guo, Riad K. Al-Hamido, Zahra Rostami, Said Broumi, Saima Anis, Muzafer Saračević, Ganeshsree Selvachandran, Selvaraj Ganesan, Shammya Shananda Saha, Marayanagaraj Shanmugapriya, Songtao Shao, Sori Tjandrah Simbolon, Florentin Smarandache, Predrag S. Stanimirović, Dragiša Stanujkić, Raman Sundareswaran, Mehmet Șahin, Ovidiu-Ilie Șandru, Abdulkadir Șengür, Mohamed Talea, Ferhat Taș, Selçuk Topal, Alptekin Ulutaș, Ramalingam Udhayakumar, Yunita Umniyati, J. Vimala, Luige Vlădăreanu, Ştefan Vlăduţescu, Yaman Akbulut, Yanhui Guo, Yong Deng, You He, Young Bae Jun, Wangtao Yuan, Rong Xia, Xiaohong Zhang, Edmundas Kazimieras Zavadskas, Zayen Azzouz Omar, Xiaohong Zhang, Zhirou Ma.



Cognitive Intelligence With Neutrosophic Statistics In Bioinformatics


Cognitive Intelligence With Neutrosophic Statistics In Bioinformatics
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Author : Florentin Smarandache
language : en
Publisher: Elsevier
Release Date : 2023-02-11

Cognitive Intelligence With Neutrosophic Statistics In Bioinformatics written by Florentin Smarandache and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-11 with Computers categories.


Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics investigates and presents the many applications that have arisen in the last ten years using neutrosophic statistics in bioinformatics, medicine, agriculture and cognitive science. This book will be very useful to the scientific community, appealing to audiences interested in fuzzy, vague concepts from which uncertain data are collected, including academic researchers, practicing engineers and graduate students. Neutrosophic statistics is a generalization of classical statistics. In classical statistics, the data is known, formed by crisp numbers. In comparison, data in neutrosophic statistics has some indeterminacy. This data may be ambiguous, vague, imprecise, incomplete, and even unknown. Neutrosophic statistics refers to a set of data, such that the data or a part of it are indeterminate in some degree, and to methods used to analyze the data. Introduces the field of neutrosophic statistics and how it can solve problems working with indeterminate (imprecise, ambiguous, vague, incomplete, unknown) data Presents various applications of neutrosophic statistics in the fields of bioinformatics, medicine, cognitive science and agriculture Provides practical examples and definitions of neutrosophic statistics in relation to the various types of indeterminacies



Design Of X Bar Control Chart For Resampling Under Uncertainty Environment


Design Of X Bar Control Chart For Resampling Under Uncertainty Environment
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Author : MUHAMMAD ASLAM
language : en
Publisher: Infinite Study
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Design Of X Bar Control Chart For Resampling Under Uncertainty Environment written by MUHAMMAD ASLAM and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


This paper presents the designing of the X-bar control chart using resampling scheme under the uncertainty environment. The necessary measures of the present chart are derived under the neutrosophic system. The neutrosophic average run length (NARL) when the process is in-control and out-of-control are derived under the neutrosophic statistical interval method (NSIM). The neutrosophic control chart coefcients are determined through the algorithm developed under NSIM. The comparative study shows that the proposed chart is better than the existing chart in NARL.



Neutrosophic Generalized Pareto Distribution


Neutrosophic Generalized Pareto Distribution
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Author : Nahed I. Eassa
language : un
Publisher: Infinite Study
Release Date : 2023-01-01

Neutrosophic Generalized Pareto Distribution written by Nahed I. Eassa and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-01 with Mathematics categories.


The purpose of this paper is to present a neutrosophic form of the generalized Pareto distribution (NGPD) which is more flexible than the existing classical distribution and deals with indeterminate, incomplete and imprecise data in a flexible manner. In addition to this, NGPD will be obtained as a generalization of the neutrousophic Pareto distribution. Also, the paper introduces its special cases as neutrosophic Lomax distribution. The mathematical properties of the proposed distributions, such as mean, variance and moment generating function are derived. Additionally, the analysis of reliability properties, including survival and hazard rate functions, is mentioned. Furthermore, neutrosophic random variable for Pareto distribution was presented and recommended using it when data in the interval form follow a Pareto distribution and have some sort of indeterminacy. This research deals the statistical problems that have inaccurate and vague data. The proposed model NGPD is widely used in finance to model low probability events. So, it is applied to a real-world data set to modelling the public debt in Egypt for the purpose of dealing with neutrosophic scale and shape parameters, finally the conclusions are discussed.



La Estad Stica Neutros Fica Es Una Extensi N De La Estad Stica De Intervalos Mientras Que La Estad Stica Plitog Nica Es La Forma M S General De Estad Stica Cuarta Versi N Neutrosophic Statistics Is An Extension Of Interval Statistics While Plitogenic Statistics Is The Most General Form Of Statistics Fourth Version


La Estad Stica Neutros Fica Es Una Extensi N De La Estad Stica De Intervalos Mientras Que La Estad Stica Plitog Nica Es La Forma M S General De Estad Stica Cuarta Versi N Neutrosophic Statistics Is An Extension Of Interval Statistics While Plitogenic Statistics Is The Most General Form Of Statistics Fourth Version
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Author : Florentin Smarandache
language : es
Publisher: Infinite Study
Release Date : 2022-09-01

La Estad Stica Neutros Fica Es Una Extensi N De La Estad Stica De Intervalos Mientras Que La Estad Stica Plitog Nica Es La Forma M S General De Estad Stica Cuarta Versi N Neutrosophic Statistics Is An Extension Of Interval Statistics While Plitogenic Statistics Is The Most General Form Of Statistics Fourth Version written by Florentin Smarandache and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-01 with Mathematics categories.


In this paper we show that Neutrosophic Statistics is an extension of Interval Statistics, since it deals with all kinds of indeterminacy (with respect to data, inferential procedures, probability distributions, graphical representations, etc.), allows for indeterminacy reduction, and uses neutrosophic probability which is more general than imprecise and classical probabilities, and has more detailed corresponding probability density functions. Whereas Interval Statistics only deals with indeterminacy that can be represented by intervals. And we respond to the arguments of Woodall et al [1]. We show that not all indeterminacies (uncertainties) can be represented by intervals. Moreover, in some applications, we should use hesitant sets (which have less indeterminacy) instead of intervals. We redirect the authors to Plitogenic Probability and Plitogenic Statistics which are the most general forms of Multivariate Probability and Multivariate Statistics respectively (including, of course, Imprecise Probability and Interval Statistics as subclasses).



Monitoring Non Conforming Products Using Multiple Dependent State Sampling Under Indeterminacy An Application To Juice Industry


Monitoring Non Conforming Products Using Multiple Dependent State Sampling Under Indeterminacy An Application To Juice Industry
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Author : Mohammed Albassam
language : en
Publisher: Infinite Study
Release Date :

Monitoring Non Conforming Products Using Multiple Dependent State Sampling Under Indeterminacy An Application To Juice Industry written by Mohammed Albassam and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


In this article a new np control chart for the multiple dependent state sampling using the neutrosophic statistics has been introduced for the efcient monitoring of the number of defective items in any production process or the customer services agencies. The coefcients of the control limits of the proposed control chart have been determined using the neutrosophic algorithms. The efficiency of its quick performance has been determined by computing the neutrosophic average run lengths with respect to different false alarm rates under different process settings at different process shift levels. The comparison with the existing counterparts for the quick detecting ability of the proposed chart has also been conducted. The practical application of the proposed chart has been elucidated using a real-world example.



Moving Average Control Chart Under Neutrosophic Statistics


Moving Average Control Chart Under Neutrosophic Statistics
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Author : Muhammad Aslam
language : en
Publisher: Infinite Study
Release Date : 2022-01-01

Moving Average Control Chart Under Neutrosophic Statistics written by Muhammad Aslam and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-01 with Mathematics categories.


Continuous monitoring and improving the production process is a crucial step for the entrepreneur to maintain its position in the market. A successful process monitoring scheme depends upon the specification of the quality being monitored. In this paper, the monitoring of temperature is addressed using the specification of moving average under uncertainty. We determined the coefficients of the proposed chart utilizing the Monte Carlo simulation for a different measure of indeterminacy. The efficiency of the proposed chart has been evaluated by determining the average run lengths using several shift values. A real example of weather-related situation is studied for the practical adoption of the given technique. A comparison study shows that the proposed chart outperforms the existing chart in monitoring temperature-related data.



Acceptance Sampling Plans For Two Stage Process For Multiple Manufacturing Lines Under Neutrosophic Statistics


Acceptance Sampling Plans For Two Stage Process For Multiple Manufacturing Lines Under Neutrosophic Statistics
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Author : Muhammad Aslam
language : en
Publisher: Infinite Study
Release Date : 2019-01-01

Acceptance Sampling Plans For Two Stage Process For Multiple Manufacturing Lines Under Neutrosophic Statistics written by Muhammad Aslam and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-01 with Business & Economics categories.


In this paper, a new acceptance-sampling plan has been introduced for the two-stage process for multiple lines under the neutrosophic statistics. The parameters of the proposed sampling plan have been determined by satisfying the given risks using the optimization solution under the neutrosophic statistical interval method (NSIM) Using the specific producer’s and consumer’s risks, the parameters of the proposed plan have also been determined under neutrosophic operating function(NOF). The comparison based on the sample size of the proposed and the existing plans has been given at different plan parameters. The tables are provided, and an industrial example is illustrated for the practical use of the proposed sampling plan. The comparison reveals that the proposed plan is more efficient, flexible, and adequate to be used under uncertainty.



Inspection Plan Based On The Process Capability Index Using The Neutrosophic Statistical Method


Inspection Plan Based On The Process Capability Index Using The Neutrosophic Statistical Method
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Author : Muhammad Aslam
language : en
Publisher: Infinite Study
Release Date :

Inspection Plan Based On The Process Capability Index Using The Neutrosophic Statistical Method written by Muhammad Aslam and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


The Process Capability Index (PCI) has been widely used in industry to advance the quality of a product. Neutrosophic statistics is the more generalized form of classical statistics and is applied when the data from the production process or a product lot is incomplete, incredible, and indeterminate. In this paper, we will originally propose a variable sampling plan for the PCI using neutrosophic statistics. The neutrosophic operating function will be given. The neutrosophic plan parameters will be determined using the neutrosophic optimization solution. A comparison between plans based on neutrosophic statistics and classical statistics is given. The application of the proposed neutrosophic sampling plan will be given using company data.