Conclusion 5.1. **For a given collection of cities we present a model for predicting occurrence of suicide attacks. The model has been developed in two parts. Factors which affect**
the prediction oriented decision making have been considered in first **part. Considering** incomplete information and the use of linguistic terms by experts, as **two characteristic** parts of the prediction problem we use the Theory of Fuzzy Soft Sets. The theory is still in its embryonic stage and has a rich potential to solve such typically ill-posed decision problems. Second part of the model is an algorithm vz. FSP which takes the assessment of factors given in Part 1 as its input and produces a possibility profile of cities likely to receive the accident. Algorithm has been illustrated by an example solved in detail. Example considers the case of Pakistan's five big cities and their relevant factors for prediction making. Simulation results for the algorithm have been **presented which** give insight into the strengths and weaknesses of FSP.

Three different decision making measures have been simulated and compared in our discussion. We also point a few possible directions for future work in the direction of this paper. Our simulation results show that decision measure Γ1 **has far less bias as compared**
to other measures. Though there can be scenarios where the other two measures are found more useful.

References
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