The Experts below are selected from a list of 216366 Experts worldwide ranked by ideXlab platform
Ertugrul E Karsak - One of the best experts on this subject based on the ideXlab platform.
-
distance based fuzzy mcdm approach for evaluating flexible manufacturing system alternatives
International Journal of Production Research, 2002Co-Authors: Ertugrul E KarsakAbstract:Considering the high required capital outlay and moderate risk of a flexible manufacturing system (FMS) investment, economic justification techniques are insufficient by themselves since they cannot cope with the benefits such as flexibility and enhanced quality offered by advanced manufacturing technologies. A robust Decision-Making Procedure for evaluating FMS requires the consideration of both economic and strategic investment measures. A distance-based fuzzy multicriteria Decision-Making (MCDM) framework based on the concepts of ideal and anti-ideal solutions is presented for the selection of an FMS from a set of mutually exclusive alternatives. The proposed method provides the means for integrating the economic figure of merit with the strategic performance variables. The multicriteria decision approach presented here enables us to incorporate data in the forms of linguistic variables, triangular fuzzy numbers and crisp numbers into the evaluation process of FMS alternatives. Linguistic variables are...
-
fuzzy multi criteria decision making Procedure for evaluating advanced manufacturing system investments
International Journal of Production Economics, 2001Co-Authors: Ertugrul E Karsak, Ethem TolgaAbstract:Abstract In this paper, a fuzzy decision algorithm is proposed to select the most suitable advanced manufacturing system (AMS) alternative from a set of mutually exclusive alternatives. Both economic evaluation criterion and strategic criteria such as flexibility, quality improvement, which are not quantitative in nature, are considered for selection. The economic aspects of the AMS selection process are addressed using the fuzzy discounted cash flow analysis. The decision algorithm aggregates the experts’ preference ratings for the economic and strategic criteria weights, and the suitability of AMS investment alternatives versus the selection criteria to calculate fuzzy suitability indices. The fuzzy indices are then used to rank the AMS investment alternatives. Triangular fuzzy numbers are used throughout the analysis to quantify the vagueness inherent in the financial estimates such as periodic cash flows, interest rate and inflation rates, experts’ linguistic assessments for strategic justification criteria, and importance weight of each criterion. A comprehensive numerical example is provided to illustrate the results of the analysis.
Gwo-ji Sheen - One of the best experts on this subject based on the ideXlab platform.
-
A fuzzy-based Decision-Making Procedure for data warehouse system selection
Expert Systems with Applications, 2007Co-Authors: Hua Yang Lin, Ping-yu Hsu, Gwo-ji SheenAbstract:The increase in the number of companies seeking data warehousing solutions, in order to gain significant business advantages, has created the need for a decision-aid approach in choosing appropriate data warehouse (DW) systems. Owing to the vague concepts frequently represented in decision environments, we have proposed a fuzzy multi-criteria Decision-Making Procedure, to facilitate data warehouse system selection, with consideration given to both technical and managerial criteria. The Procedure can systematically construct the objectives of DW systems selection to support the business goals and requirements of an organization, and identify the appropriate attributes or criteria for evaluation. In the fuzzy-based method, the weight of each criterion and the rating of each alternative are described using linguistic terms, which can also be expressed as triangular fuzzy numbers. The fuzzy algorithm aggregated the decision-makers' preference rating for criteria, and the suitability of data warehouse alternatives versus the selection criteria, to calculate fuzzy appropriateness indices, through which, the most suitable data warehouse system was determined. A case study of a Bar Code Implementation Project for Agricultural Products in Taiwan was conducted to illustrate this method's effectiveness.
Kalyanmoy Deb - One of the best experts on this subject based on the ideXlab platform.
-
an interactive evolutionary multi objective optimization and decision making Procedure
Applied Soft Computing, 2010Co-Authors: Shamik Chaudhuri, Kalyanmoy DebAbstract:With the advent of efficient techniques for multi-objective evolutionary optimization (EMO), real-world search and optimization problems are being increasingly solved for multiple conflicting objectives. During the past decade of research and application, most emphasis has been spent on finding the complete Pareto-optimal set, although EMO researchers were always aware of the importance of Procedures which would help choose one particular solution from the Pareto-optimal set for implementation. This is also one of the main issues on which the classical and EMO philosophies are divided on. In this paper, we address this long-standing issue and suggest an interactive EMO Procedure which will involve a decision-maker in the evolutionary optimization process and help choose a single solution at the end. This study uses many year's of research on EMO and would hopefully encourage both practitioners and researchers to pay more attention in viewing the multi-objective optimization as a aggregate task of optimization and Decision-Making.
S Karthik - One of the best experts on this subject based on the ideXlab platform.
-
dynamic multi objective optimization and decision making using modified nsga ii a case study on hydro thermal power scheduling
International Conference on Evolutionary Multi-criterion Optimization, 2007Co-Authors: S KarthikAbstract:Most real-world optimization problems involve objectives, constraints, and parameters which constantly change with time. Treating such problems as a stationary optimization problem demand the knowledge of the pattern of change a priori and even then the Procedure can be computationally expensive. Although dynamic consideration using evolutionary algorithms has been made for single-objective optimization problems, there has been a lukewarm interest in formulating and solving dynamic multi-objective optimization problems. In this paper, we modify the commonly-used NSGA-II Procedure in tracking a new Pareto-optimal front, as soon as there is a change in the problem. Introduction of a few random solutions or a few mutated solutions are investigated in detail. The approaches are tested and compared on a test problem and a real-world optimization of a hydro-thermal power scheduling problem. This systematic study is able to find a minimum frequency of change allowed in a problem for two dynamic EMO Procedures to adequately track Pareto-optimal frontiers on-line. Based on these results, this paper also suggests an automatic Decision-Making Procedure for arriving at a dynamic single optimal solution on-line.
Ethem Tolga - One of the best experts on this subject based on the ideXlab platform.
-
fuzzy multi criteria decision making Procedure for evaluating advanced manufacturing system investments
International Journal of Production Economics, 2001Co-Authors: Ertugrul E Karsak, Ethem TolgaAbstract:Abstract In this paper, a fuzzy decision algorithm is proposed to select the most suitable advanced manufacturing system (AMS) alternative from a set of mutually exclusive alternatives. Both economic evaluation criterion and strategic criteria such as flexibility, quality improvement, which are not quantitative in nature, are considered for selection. The economic aspects of the AMS selection process are addressed using the fuzzy discounted cash flow analysis. The decision algorithm aggregates the experts’ preference ratings for the economic and strategic criteria weights, and the suitability of AMS investment alternatives versus the selection criteria to calculate fuzzy suitability indices. The fuzzy indices are then used to rank the AMS investment alternatives. Triangular fuzzy numbers are used throughout the analysis to quantify the vagueness inherent in the financial estimates such as periodic cash flows, interest rate and inflation rates, experts’ linguistic assessments for strategic justification criteria, and importance weight of each criterion. A comprehensive numerical example is provided to illustrate the results of the analysis.
