nowadays, by the expansion of information technology in human life and dependence of business upon it, data protection, as one the most valuable and critical assets of the organization, has become the vital tool of modern industry and prerequisite for sustaining business process. in order to face the challenges and to take advantage of new opportunities brought forth by it advances we suggest o...

In this paper, a new approach that applies fuzzy Delphi method in Simple Additive Weighting (SAW) is proposed to be used in the Maintenance Strategy Selection Problem (MSSP). This approach is based on representation of the importance of goals and each strategy capabilities to satisfy each maintenance goals with fuzzy numbers. Fuzzy Delphi method is applied for the assessment of the importance o...

Sales forecasting is one of the most crucial issues addressed in business. Control and evaluation of future sales still seem concerned both researchers and policy makers and managers of companies. this research propose an intelligent hybrid sales forecasting system Delphi-FCBPN sales forecast based on Delphi Method, fuzzy clustering and Back-propagation (BP) Neural Networks with adaptive learni...

To face the reality of practical multiple criteria problems usually possessing characters of fuzziness, and to consider group decision making with various subjective–objective backgrounds usually participating in decision-making process. In this paper, the experts’ opinions are described by linguistic terms which can be expressed in trapezoidal (or triangular) fuzzy numbers. To make the consens...

To achieve the above we propose, through a numerical example, a methodology that uses in its first phase the Fuzzy-Delphi method, with a group of experts, to acomplish an estimation of the lifetime period of the client within an enterprise, expressed as a trapezoidal fuzzy number, and to get a better consensus of the previous result, as a second phase, we submit such information to another grou...

This paper investigates the forecasting accuracy of fuzzy extended group decisions in the adjustment of statistical benchmark results. DELPHI is a frequently used method for implementing accurate group consensus decisions. The concept of consensus is subject to expert characteristics and it is sometimes ensured by a facilitator’s judgment. Fuzzy set theory deals with uncertain environments and ...

The purpose of this paper is to provide an algorithm for the motion picture companies to evaluate the key capabilities from firm viewpoint under fuzzy environment. The fundamental concepts we have adopted include the eigenvector method, fuzzy Delphi method, fuzzy set theory, and multi-criteria decision making method. With the concept of balanced scorecard and the interviewing managers of motion...

in the last decades an increasing number of clubs, associations, and partnerships behind professional team sports have become business enterprises as well; as regards their income and number of employees, there are numerous companies managing sports clubs in the medium sized enterprise sector. by nature of being businesses that manage sports, successful performance is usually the number one str...

The introduction of fuzzy logic into expert systems is an approach that allows expert systems to deal with real-world aspects that cannot be modeled accurately with classical crisp logic. An example is the formation of human opinions that are not always crisp with respect to the membership of a certain element in a set. In addition, the Delphi method is a technique for forming a stable consensu...

The result of audit designation is significantly influenced by the audit evidence collected when planning the audit and the degree of detection risk is further depends on the amount of audit evidence. Therefore, when the assessment factors of detection risk are more objective and correct, audit costs and the risk of audit failure can be reduced. Thus, the aim of this paper is to design an audit...