Chinnadurai Veeramani

PSG College of Technology | psg · Department of Applied Science (Mathematics)

In the field of stock trading, forecasting the future stock price movement is an essential yet challenging area. Precise prediction of the stock market movement is warranted to have a deterministic return. In this regard, the current study attempts to develop a new indicator based on the Fuzzy Inference System (FIS). From the historical stock price...

Neutrosophic Set (NS) allows us to handle uncertainty and indeterminacy of the data. Several researchers have investigated the Transportation Problems (TP) with various forms of input data. This paper emphasizes a dynamic optimal solution framework for TPs in a neutrosophic setting. This paper investigates a Neutrosophic Transportation Problem (NTP...

The relative performance analysis and ranking of the financial ratios are highly important for optimal portfolio selection in the stock market. However, the relative performance evaluation of the financial ratios is highly complex and nonlinear. Thus, the main goal of this study is to measure the relative importance of the financial ratios of two g...

Data envelopment analysis (DEA) is highly used to rank the companies in the stock market. This study presents a DEA framework for ranking the companies in the stock market. In this regard, the data is collected from 24 companies listed in the NASDAQ stock market. Then the input and output measures are calculated from the collected data. Finally, th...

Abstract The relative performance analysis and ranking of the financial ratios are highly important for optimal portfolio selection in the stock market. However, the financial relative performance evaluation of financial ratios is a highly complex and nonlinearsystem.TheprimaryobjectiveofthisresearchistousethefuzzyDecision MakingTrialandEvaluati...

Nowadays, viruses and worms create the most critical problems in computer security issues. Hence, the spreading behavior of computer viruses and the investigation of their control measures are crucial since they will prevent massive economic losses and social panic. This study explores computer virus transmission with a partial immunization based o...

Nowadays, the transportation problem is a multiobjective decision-making problem. It involves deciding to determine the ideal transportation setup that matches the decision maker’s preferences while taking into account competing objectives/criteria such as transportation cost, transportation time, and environmental and social concerns. This study p...

Wireless sensor networks (WSNs), which emerge from an un-attended environment monitoring, are deployed for monitoring purposes in different environments. But, WSNs suffer from vulnerable malware to propagate via exploiting message exchange among the sensor nodes. To draw attention to this issue, this paper investigates an optimal control strategy t...

IT outsourcing is the model of utilizing resources outside of an organization to manage some information technology activities. Organizations often outsource their activities because it is cheaper than to buy and manage their resources and infrastructure. Choose the vendor is the overhead process. Consider the multi-attribute of IT outsourcing choi...

The cost of goods per unit transported from the source to the destination is considered to be fixed regardless of the number of units transported. But, in reality, the cost is often not fixed. Quantity discount is often allowed for large shipments. Furthermore, the transportation cost and the price break quantities are not deterministic. In this st...

Multi-objective linear plus linear fractional programming problem is an emerging tool for solving problems in different environments such as production planning, financial and corporate planning and healthcare and hospital planning which has attracted many researchers in recent years. This paper presents a method to find a Pareto optimal solution f...

This paper presents an efficient metaheuristic approach for optimizing the generalized ratio problems such as the sum and multiplicative of linear or nonlinear ratio objective function with affine constraints. This paper focuses on the significance of hybrid techniques, which are implemented by using GA and ER-WCA to increase efficiency and robustn...

In this paper, we discuss Trapezoidal intuitionistic fuzzy assignment quandary(TrIFAP). In classical assignment quandary, Cost always remains same. But, here we develop an method to solve Trapezoidal intuitionistic fuzzy assignment quandary where cost is not deterministic numbers but infelicitous ones. Here, the costs(profits) matrix have all the e...

This study elucidates the dynamic behaviour of the two competing mutually exclusive epidemic (meme) spreading model with the alert of memes over multiplex social networks. Each meme spreads over a distinct contact networks \((CN_1,CN_2)\) of an undirected multiplex social network. The behavioural responses of agents (alerts) to the spread of compet...

Fuzzy Linear Fractional Programming problem has been used as an important planning tool for the different disciplines such as engineering, business, finance, economics, etc. In this paper, a new algorithm is developed to solve the Fuzzy Linear Fractional programming Problem (FLFPP) where the cost of the objective function, the resources and the tec...

Fuzzy Linear Fractional Programming problem has been used as an important planning tool for the different disciplines such as engineering, business, finance, economics, etc. This paper, we propose the concepts of (α, r) - acceptable optimal value of a linear fractional programming problem with fuzzy coefficients and fuzzy decision variables and dev...

The most recent advancements in the dynamically expanding realm of Internet and networking technologies have provided a scope for research and development in computer science and its allied thrust areas. To provide a broad interdisciplinary research forum, the International Conference on Computational Intelligence, Cyber Security and Computational...

An epidemic vulnerable—exposed—infectious—secured—vulnerable (VEISV) model for the fuzzy propagation of worms in computer network is formulated. In this paper, the comparison between classical basic reproduction number and fuzzy basic reproduction number is analyzed. Epidemic control strategies of worms in the computer network—low, medium, and high...

In this paper, a method is proposed for solving multi-objective linear fractional programming (MOLFP) problem. Here, the MOLFP problem is transformed into an equivalent multi-objective linear programming (MOLP) problem. Using the first-order Taylor’s series approximation, the MOLFP problem is reduced to single-objective linear programming (LP) prob...

In this paper, a solution procedure is proposed to solve fuzzy linear fractional programming (FLFP) problem where cost of the objective function, the resources and the technological coefficients are triangular fuzzy numbers. Here, the FLFP problem is transformed into an equivalent deterministic multi-objective linear fractional programming (MOLFP)...

Fuzzy number approximation has been investigated by many researchers. It is still useful to develop new approximations in order to better fit real world problems. This paper proposes a method for symmetric trapezoidal fuzzy number approximation which preserves the expected interval. Some properties of approximation are proved and a fuzzy partition...

In this paper, a solution procedure is proposed to solve fuzzy linear fractional programming (FLFP) problem where cost of the objective function, the resources and the technological coefficients are triangular fuzzy numbers. Here, the FLFP problem is transformed into an equivalent deterministic multi-objective linear fractional programming (MOLFP)...

In this paper, we discussed the fully fuzzy linear programming (FFLP) problems in which all the parameters and variables are triangular fuzzy numbers. We proposed a new approach of solving FFLP problem using the concept of nearest symmetric triangular fuzzy number approximation with preserve expected interval. Using this technique, FFLP problems mo...

Numerous ranking methods have been proposed and investigated so-far. Most of the ranking methods discussed only normal fuzzy numbers, but in many cases (such as risk analysis, approximate reasoning, etc.,) the normal fuzzy number is not adequate. In this paper, we introduced a new ranking method based on weighted expected values of the fuzzy number...

Fuzzy multi-objective linear programming (FMLOP) problem has its vast applications in the field of science and engineering. Many authors proposed different method to solve those problems. In this paper, FMOLP problem in which both technological coefficient and resources are fuzzy with linear membership function was studied and a novel approach was...

Optimization is one of the most important problems in our daily life. Fuzzy linear programming problems (FLPPs) have an essential role in fuzzy modeling, which can formulate uncertainty in actual environment. One of the most practicable subjects in recent studies is based on L-R fuzzy numbers. In this paper, the FLPP in which right-hand side values...

The objective of this paper is to deal with a kind of fuzzy linear programming problem where all the parameters and variables are triangular L-R fuzzy numbers. In this paper, we have introduced and studied the arithmetic operation in triangular L-R fuzzy numbers. Also, we have introduced a new technique; the ranking method based on signed distance...