چکیده:
Website is the first interaction tool between user and organization in every online business. The
basic goal of every website is to provide information through its content. Nowadays, website
content is considered to be a strategic issue for online businesses which will contribute to user
attraction and retention. In this paper a soft decision making approach is taken towards the website
content selection problem. To tackle this problem, a multi criteria decision making algorithm is
proposed based on PROMETHEE outranking methodology. To overcome the shortening of this
methodology facing the inherent uncertainty in decision problems, a new method is developed,
where the characteristics of the alternatives are represented by intuitionistic fuzzy sets. Finally, a
numerical example for content selection of Iranian universities’ website is given to illustrate
application of the intuitionistic fuzzy PROMETHEE method. The outcome shows the
effectiveness of intuitionistic fuzzy PROMETHEE in accommodating the imprecise information
in comparison with fuzzy PROMETHEE and original PROMETHEE.
خلاصه ماشینی:
University Website Quality Improvement Using Intuitionistic Fuzzy Preference Ranking Model Gholam Ali Montazer* Associate Professor, Information Technology Department,Tarbiat Modares University Received: 2017/07/09 Accepted: 2018/01/01 Abstract Website is the first interaction tool between user and organization in every online business.
To overcome the shortening of this methodology facing the inherent uncertainty in decision problems, a new method is developed, where the characteristics of the alternatives are represented by intuitionistic fuzzy sets.
Website Quality, University Website, Soft Decision Making, PROMETHEE Method, Intuitionistic Fuzzy Sets Introduction Over the past decade, development of internet has changed every aspect of life and its main outcome is the emergence of online organizations offering electronic services.
Numerous methods have been proposed for multi criteria decision making among which outranking models are developed to make a true ranking of real-life problems [13].
The main difference between PROMETHEE and other outranking approaches is the use of generalized criterion functions which were introduced to incorporate the inherent uncertainty in decision making problems.
Multi criteria decision-making method based on intuitionistic fuzzy sets is then proposed in section 4.
(view the image of this page) Case Study: university website (content selection) The algorithm for the soft decision analysis based on intuitionistic fuzzy PROMETHEE is demonstrated with a case study from university website which is used to rank the content items for the homepage of the university to enhance the informational and structural needs of users.
, "A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method", Expert Systems with Applications, vol.