D. Anuradha

Bio: D. Anuradha is an academic researcher from VIT University. The author has contributed to research in topics: Fuzzy logic & Fuzzy transportation. The author has an hindex of 3, co-authored 17 publications receiving 60 citations.

A New Approach for Solving Solid Transportation Problems

Abstract: A new method using the principle of zero point method [10] is proposed for finding an optimal solution of solid transportation problems. The proposed method yields an optimal solution of the given solid transportation problem directly . It is very easy to understand and apply which can serve managers by providing the optimal solution to a variety of distribution problems involving three items. With help of a numerical example, the proposed method is illustrated. Mathematics Subject Classifications: 90C08, 90C90

A New Method for Solving Bi-Objective Transportation Problems

Abstract: A new method namely, dripping method is proposed for finding a set of efficient solutions to a bi-objective transportation problem which differs from all existing methods. The percentage level of satisfaction of a solution for a transportation problem is introduced. An illustrative example is presented to clarify the idea of the proposed approach. The dripping method can be served as an important tool for the decision makers to obtain efficient solutions, according to their level of satisfaction on the objective functions when they are handling various types of logistic problems involving two objectives.

Optimization of Air Lift Operation under Fuzzy Environment

Abstract: The intention of this paper is to illustrate a diligence of fuzzy transportation model in airlift process contrived according to the atmospheric conditions throughout rainy seasons. This paper formulates a procedure to deduce the fuzzy objective value of the fuzzy transportation problem in that the quantum of consignments, requirements and airlifts are fuzzy numbers. To illustrate the procedure, a numerical instance is given.

Algorithms for solving the optimization problems using fuzzy and intuitionistic fuzzy set

Abstract: In this article, the crisp, fuzzy and intuitionistic fuzzy optimization problem is formulated. The basic definitions and notations related to optimization problems are given in the preliminaries section. Algorithms for solving the optimization problems using fuzzy and intuitionistic fuzzy set is presented in this article. Then, with the help of the proposed algorithm the optimal solution of the crisp, fuzzy and intuitionistic fuzzy optimization problems are determined. A new theorem related to type-2 fuzzy/type-2 intuitionistic fuzzy optimization problems is proposed and proved. Some new and concrete results related to type-2 fuzzy/type-2 intuitionistic fuzzy optimization problems are presented. To illustrate the proposed method, some real-life numerical examples are presented. The proposed article provides seven fully worked examples with screenshots of output summaries from the software used in the computations for better understanding. The advantages of the proposed approach as compared to other existing work are also specified. Detail analyses of the comparative study as well the discussion are given. To show the advantages of the proposed approach, superiority analysis is discussed. Comparison analysis and the advantages of the proposed operators are also discussed. Some managerial applications and the advantages of the proposed approach are given. Finally, conclusion and future research directions are also given.

Intuitionistic fuzzy solid assignment problems: a software-based approach

Abstract: This paper sustains a sound mathematical and computing background. In this paper, the software-based approach for solving intuitionistic fuzzy solid assignment problem (IFSAP) is presented. The IFSAP is formulated and it is solved by using Lingo 17.0 software tool. Theorems related to IFSAP is proved. The IFSAP and its crisp solid assignment problem both are solved at a time and their optimal solution is obtained. In addition, the optimal objective values of both the IFSAP and its crisp solid assignment problem (SAP) are estimated with the help of substituting the optimal solution(s) to their respective decision variables in the objective functions. Some new and important results are proposed. To illustrate the efficiency of the proposed method the numerical example is presented. The reliability of the proposed results are verified by using the numerical example. Strengths and weakness of the paper is mentioned. The novelty of the analysis is given into a coherent, concise, and meaningful manner of analysis. Social issue (real-life problem) is converted into a mathematical model and it is solved by the proposed method. At the end, the advantages of the proposed algorithm is explained.

Developing a New Approach to Solve Solid Assignment Problems Under Intuitionistic Fuzzy Environment

Abstract: When people solve real-life SAP they tend to face the uncertainty state as well as hesitation due to many uncontrollable factors. To deal with uncertainty and hesitation many authors have suggested...