1,253 research outputs found
Quadruple Neutrosophic Theory And Applications Volume I
Neutrosophic set has been derived from a new branch of philosophy, namely Neutrosophy. Neutrosophic set is capable of dealing with uncertainty, indeterminacy and inconsistent information. Neutrosophic set approaches are suitable to modeling problems with uncertainty, indeterminacy and inconsistent information in which human knowledge is necessary, and human evaluation is needed. Neutrosophic set theory firstly proposed in 1998 by Florentin Smarandache, who also developed the concept of single valued neutrosophic set, oriented towards real world scientific and engineering applications. Since then, the single valued neutrosophic set theory has been extensively studied in books and monographs introducing neutrosophic sets and its applications, by many authors around the world. Also, an international journal - Neutrosophic Sets and Systems started its journey in 2013. Smarandache introduce for the first time the neutrosophic quadruple numbers (of the form + + + ) and the refined neutrosophic quadruple numbers
Sustainable and agile manufacturing outsourcing partner selection: a literature review
[EN] Outsourcing to third party to manage non-core activities helps the firm to focus on core activities. Manufacturing firms are outsourcing product development, manufacturing, logistics, customer care etc. to enhance production capacity and flexibility, and to reduce operational costs, which in turn can improve profitability and competitive advantage of the enterprise. Sustainability in operations and supply chain is gaining momentum due to increased global environmental concern, pressures from consumers and communities, and enforced regulations. Volatile and uncertain business environment necessitates the adoption of agility and flexibility to effectively manage manufacturing and supply chain. Globalisation has made the market very competitive and hence manufacturing firms are adopting manufacturing outsourcing to third parties. Selecting a sustainable and agile manufacturing outsourcing partner (MPS) is crucial as it will improve sustainability, efficiency, and effectiveness of the supply chain and competitive advantage to the firm. Detailed literature review on sustainable and agile manufacturing outsourcing partner selection has been carried out from EBSCO data base and Goggle scholar. Selection criteria used are classified into agile, operational, economic, environmental and social. The techniques use are mostly multi criteria decision making methods (MCDM) while few have adopted programming techniques. Discussion, implication and the scope of future work is also provided.Akhtar, M. (2022). Sustainable and agile manufacturing outsourcing partner selection: a literature review. International Journal of Production Management and Engineering. 10(2):143-158. https://doi.org/10.4995/ijpme.2022.1680714315810
The doctoral research abstract. Vol:9 2016 / Institute of Graduate Studies, UiTM
FOREWORD:
Seventy three doctoral graduands will be receiving their scroll today signifying their
achievements in completing their PhD journey. The novelty of their research is shared with
you through The Doctoral Abstracts on this auspicious occasion, UiTM 84th Convocation.
We are indeed proud that another 73 scholarly contributions to the world of knowledge
and innovation have taken place through their doctoral research ranging from Science and
Technology, Business and Administration, and Social Science and Humanities.
As we rejoice and celebrate your achievement, we would like to acknowledge
dearly departed Dr Halimi Zakaria’s scholarly contribution entitled
“Impact of Antecedent Factors on Collaborative Technologies Usage
among Academic Researchers in Malaysian Research Universities”. He
has left behind his discovery to be used by other researchers in their quest
of pursuing research in the same area, a discovery that his family can be
proud of.
Graduands, earning your PhD is not the end of discovering new ideas,
invention or innovation but rather the start of discovering something
new. Enjoy every moment of its discovery and embrace that life is
full of mystery and treasure that is waiting for you to unfold. As
you unfold life’s mystery, remember you have a friend to count
on, and that friend is UiTM.
Congratulations for completing this academic journey. Keep
UiTM close to your heart and be our ambassador wherever
you go. / Prof Emeritus Dato’ Dr Hassan Said
Vice Chancellor
Universiti Teknologi MAR
Decision-making model for designing telecom products/services based on customer preferences and non-preferences
The design of the packages of products/services to be offered by a telecom company to
its clients is a complex decision-making process that must consider different criteria to achieve
both customer satisfaction and optimization of the company’s resources. In this process, Intuitionistic
Fuzzy Sets (IFSs) can be used to manage uncertainty and better represent both preferences
and non-preferences expressed by people who value each proposed alternative. We present
a novel approach to design/develop new products/services that combines the Lean Six Sigma
methodology with IFSs. Its main contribution comes from considering both preferences and nonpreferences
expressed by real clients, whereas existing proposals only consider their preferences.
By also considering their non-preferences, it provides an additional capacity to manage the high
uncertainty in the selection of the commercial plan that best suits each client’s needs. Thus, client
satisfaction is increased while improving the company’s corporate image, which will lead to
customer loyalty and increased revenue. To validate the presented proposal, it has been applied to
a real case study of the telecom sector, in which 2135 users have participated. The results obtained
have been analysed and compared with those obtained with a model that does not consider the
non-preferences expressed by users.Spanish Ministry of Science and Innovation (State Research Agency)Junta de Andalucia
PID2019-103880RB-I00
PID2019-109644RB-I00
PY20_0067
Neutrosophic Algebraic Structures and Their Applications
Neutrosophic theory and its applications have been expanding in all directions at an astonishing rate especially after of the introduction the journal entitled “Neutrosophic Sets and Systems”. New theories, techniques, algorithms have been rapidly developed. One of the most striking trends in the neutrosophic theory is the hybridization of neutrosophic set with other potential sets such as rough set, bipolar set, soft set, hesitant fuzzy set, etc. The different hybrid structures such as rough neutrosophic set, single valued neutrosophic rough set, bipolar neutrosophic set, single valued neutrosophic hesitant fuzzy set, etc. are proposed in the literature in a short period of time. Neutrosophic set has been an important tool in the application of various areas such as data mining, decision making, e-learning, engineering, medicine, social science, and some more
Supplier evaluation and selection in fuzzy environments: a review of MADM approaches
In past years, the multi-attribute decision-making (MADM)
approaches have been extensively applied by researchers to the
supplier evaluation and selection problem. Many of these studies
were performed in an uncertain environment described by fuzzy sets.
This study provides a review of applications of MADM approaches
for evaluation and selection of suppliers in a fuzzy environment. To
this aim, a total of 339 publications were examined, including papers
in peer-reviewed journals and reputable conferences and also some
book chapters over the period of 2001 to 2016. These publications
were extracted from many online databases and classified in some
categories and subcategories according to the MADM approaches,
and then they were analysed based on the frequency of approaches,
number of citations, year of publication, country of origin and
publishing journals. The results of this study show that the AHP and
TOPSIS methods are the most popular approaches. Moreover, China
and Taiwan are the top countries in terms of number of publications
and number of citations, respectively. The top three journals with
highest number of publications were: Expert Systems with Applications,
International Journal of Production Research and The International
Journal of Advanced Manufacturing Technology
A novel financial risk assessment model for companies based on heterogeneous information and aggregated historical data
The financial risk not only affects the development of the company itself, but also affects the economic development of the whole society; therefore, the financial risk assessment of company is an important part. At present, numerous methods of financial risk assessment have been researched by scholars. However, most of the extant methods neither integrated fuzzy sets with quantitative analysis, nor took into account the historical data of the past few years
Effects of oil palm (elais guineensis) fruit extracts on glucose uptake activity of muscle, adipose and liver cells
The effect of oil palm (Elaeis guineensis) fruit aqueous extract (OPF) on glucose uptake activity of three different cell lines was investigated. The cell lines were incubated with different concentrations of OPF to evaluate the stimulatory effect of OPF towards glucose uptake activity of L6 myotubes, 3T3F442A adipocytes and Chang liver cell line. The glucose uptake activities of all tested cells were enhanced in the presence of OPF extract (basal condition). Nevertheless in combination of OPF extract and 100 nM insulin, the glucose uptake activity was only significantly enhanced in L6 myotubes and 3T3F442A adipocytes cell lines. The extracts enhanced the glucose uptake into cells through either insulin-mimetic or insulin-sensitizing property or combination of these two properties. It can be suggested that the OPF extract exerts its antihyperglycemic action partly by mediated glucose uptake into the glucose-responsive disposal cells, muscle, adipose and liver
Two stages hybrid model of fuzzy linear regression with support vector machines for colorectal cancer
Fuzzy linear regression analysis has become popular among researchers and standard model in analyzing data in vagueness phenomena. However, the factor and symptoms to predict tumor size of colorectal cancer still ambiguous and not clear. The problem in using a linear regression will arise when uncertain data and not precise data were presented. Since the fuzzy set theory‟s concept can deal with data not to a precise point value (uncertainty data), fuzzy linear regression was applied. In this study, two new models for hybrid model namely the multiple linear regression clustering with support vector machine model (MLRCSVM) and fuzzy linear regression with symmetric parameter with support vector machine (FLRWSPCSVM) were proposed to analyze colorectal cancer data. Other than that, the parameter, error and explanation of the five procedures to both new models were included. These models applying five statistical models such as multiple linear regression, fuzzy linear regression, fuzzy linear regression with symmetric parameter, fuzzy linear regression with asymmetric parameter and support vector machine model. At first, the proposed models were applied to the 1000 simulated data. Furthermore, secondary data of 180 colorectal cancer patients who received treatment in general hospital with twenty five independent variables with different combination of variable types were considered to find the best models to predict the tumor size of CRC. The main objective of this study is to determine the best model to predicting the tumor size of CRC and to identify the factors and symptoms that contribute to the size of CRC. The comparisons among all the models were carried out to find the best model by using statistical measurements of mean square error (MSE), root mean square error (RMSE), mean absolute error (MAE) and mean absolute percentage error (MAPE). The results showed that the FLRWSPCSVM was found to be the best model, having the lowest MSE, RMSE, MAE and MAPE value by 100.605, 10.030, 7.556 and 14.769. Hence, the size of colorectal cancer could be predicted by managing twenty five independent variables
The Encyclopedia of Neutrosophic Researchers - vol. 1
This is the first volume of the Encyclopedia of Neutrosophic Researchers, edited from materials offered by the authors who responded to the editor’s invitation. The authors are listed alphabetically. The introduction contains a short history of neutrosophics, together with links to the main papers and books. Neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics, neutrosophic measure, neutrosophic precalculus, neutrosophic calculus and so on are gaining significant attention in solving many real life problems that involve uncertainty, impreciseness, vagueness, incompleteness, inconsistent, and indeterminacy. In the past years the fields of neutrosophics have been extended and applied in various fields, such as: artificial intelligence, data mining, soft computing, decision making in incomplete / indeterminate / inconsistent information systems, image processing, computational modelling, robotics, medical diagnosis, biomedical engineering, investment problems, economic forecasting, social science, humanistic and practical achievements
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