Investment Rankings Based On Technical Analysis By Fuzzy Mcdm In Tehran Stock Exchange

There are too many numbers of criteria for the investor to consider before making the final decision, including Overall Trend, Buying/Selling Pressure, Reward to Risk Ratio of a New Position and Potential entry levels for new long position, etc. When the investment strategies are evaluated from above aspects, it can be regarded as a fuzzy multi-criteria decision-making (FMCDM) problem. This research explains a fuzzy hierarchical analytic approach to determine the weighting of subjective judgments. In addition, it presents a non-additive fuzzy integral technique to evaluate technical analysts. Since investors cannot clearly estimate each considered criterion in terms of numerical values for the anticipated alternatives, fuzziness is considered applicable. Consequently, this research uses triangular fuzzy numbers to establish weights and anticipated achievement values. By ranking fuzzy weights and fuzzy synthetic performance values, we can determine the relative importance of criteria and decide the best strategies. We also apply what is called a fuzzy measure and non-additive fuzzy integral technique to evaluate aquatic investment. In addition, we demonstrate that the non-additive fuzzy integral is an effective evaluation and appears to be appropriate, especially when the criteria are not independent.