سیستم پشتیبانی تصمیم گیری برای انتخاب دوربین دیجیتال بر مبنای ترجیحات کاربر

Mobile phones have been the most rapidly spreading development in the field of communication and information technologies over the past decades. Nowadays, digital cameras have taken their place. The wide product range in the market, each with numerous heterogeneous technical attributes, complicates the selection of the most convenient camera for end-users. The aim of this work is to provide end-users with a decision support framework for selecting the best digital camera according to their preferences. End-users and photography experts use subjective assessments when determining their requirements and making their evaluations. The proposed decision support tool is built on the basis of fuzzy set theory. The imprecision of the subjective assessments are transformed to fuzzy triangular numbers. The fuzzy analytic hierarchy process (FAHP) and fuzzy compromise programming methodologies are applied in order to determine the relative weights of sub-criteria and criteria and to rank the digital camera alternatives, respectively.

Digital photography has taken the world by storm in recent years. Everyone, even children, knows how to operate these technologically advanced cameras. From cell phone cameras to the more advanced models with professional options, the world of photography has leaped off the small screen into the gigantic world of possibilities. Each alternative is able to provide a different level of satisfaction for every objective. Therefore, an end-user needs some assistance in order to choose the most satisfying option. Multiple criteria decision making includes a body of methods to support a decision in such an environment. Fuzzy multiple criteria decision making methods are built to find better ways for handling risk and uncertainty. In this paper, we aim at establishing a decision support system in the highly competitive digital camera market for selecting the best camera. As the end-users use digital cameras for different occasions and with different goals, the best camera for each user differs. Hence, we have first differentiated the end-users into three groups: dabblers, students, and news, sports and action photographers. These three groups were the most convenient ones for our interviewers, however it is possible to determine more groups, especially more groups for professional photographers. Then, we have determined the most convenient criteria and their sub-criteria in order to differentiate the digital camera alternatives in the market. The fuzzy analytic hierarchy process and fuzzy compromise programming techniques enable us to find the priority weights of these criteria and sub-criteria and then to rank the decision alternatives. We have chosen the ‘technique for order preference by similarity to ideal solution’ (TOPSIS) methodology, which is one of the most common multi criteria decision making methodologies, as the benchmark model. TOPSIS defines an index called ‘similarity to the ideal solution’ and the remoteness from the anti-ideal solution. Then, the method chooses an alternative with the maximum similarity to the ideal solution (Hwang & Yoon, 1981). We have compared the rankings obtained with the proposed framework and the ones obtained with fuzzy TOPSIS methodology. The remainder of the paper is organized as follows: Section 2 summarizes related research. Section 3 presents the mathematical background and the theoretical background of the methodologies. In the next section, we have presented the elements of the hierarchy of our proposed framework with the decision alternatives, criteria, sub-criteria and the user profiles. In Section 5, we give the main lines and the process flow of our proposed decision support framework. Section 6 is the application part where we present all the results. The paper is concluded in Section 7.

The selection of digital cameras is only one of the decision making problems with multiple different criteria. Every day, in daily life, we come across many decision situations with many different conflicting criteria. The aim of this research is to construct a fuzzy AHP and fuzzy compromise programming model to evaluate different digital cameras. In this paper, we have demonstrated how a multi criteria decision making framework can be applied to a daily life problem. The proposed framework provides an effective and systematic decision support tool. We have used triangular fuzzy numbers to express linguistic variables that consider the subjective assessments of evaluators. The AHP methodology has been used to determine the priority weights of the criteria and sub-criteria, whereas compromise programming has been used to rank the alternatives according to their performances. The priority weights have demonstrated that different end-users have different requirements and the best digital camera depends on the end-user preference. Table 10.