Assessment of MCDM problems by TODIM using aggregated weights

Abstract

Sustainability of sheep and goat production systems is a significant task for any
organization that aims for long term goals. Housing and feeding selection for goat farming is the
most important factor that should be considered before setting out the goat farm. The decision
framework of housing selection should include environmental, social and human impact for the
long term, rather than on short-term gains. In the selection process, various parameters are
involved such as housing materials, area to prevent water stagnation, ventilation, enough space for
the pen and run system, space for feeders and water troughs. Those parameters highlight the quality
of housing in relation to aspects of traditional breeding provided by the organizations. However, the
process of housing selection is often led by hands on experience which contains vague, ambiguous
and uncertain decisions. To overcome this issue it is necessary to frame an efficient algorithm which
could remove the entire barrier in the decision making process. In this paper we propose a
neutrosophic multi-criteria decision making framework that combines the TODIM method with the
SD- HNWA operator. The resulting multi-criteria decision analytical MCDM framework is then
applied in selecting the best system in housing and feeding of goats at a mixed farming agrofarm in
India. The proposed approach allows us to establish the neutrosophic based value function that
measures the degree to which one alternative is superior to others by calculating accurate number of
information in pair wise comparison in terms of gain and loss. The outcomes of the proposed
method are compared with the use of the TOPSIS method to prove its efficiency and validate the
results.