The equivalence between the interval-valued fuzzy set (IVFS) and the intuitionistic fuzzy set (IFS)
is exploited to study linear programming problems involving interval uncertainty …

In this paper, we propose robust portfolio optimization models for reward–risk ratios utilizing
Omega, semi‐mean absolute deviation ratio, and weighted stable tail adjusted return ratio (…

This paper presents an approach based on value and ambiguity indexes defined in [1] to
solve linear programming problems with data as triangular intuitionistic fuzzy numbers.

In recent years, PROMETHEE II has emerged as one of the most efficient and successfully
applied outranking method in multi-criteria decision making (MCDM) problems. Conventional …

Based on the specified grades of satisfaction, we propose two new concepts of (α, β)-acceptable
optimal solution and (α, β)-acceptable optimal value of a fuzzy linear fractional …

Index tracking (IT) and enhanced indexing (EI) are two forms of investment strategies which
revolve around the movements of the benchmark index. While IT aims to match the …

Fuzzy c-means (FCM) is one of the prominent method utilized for medical image
segmentation. In literature intuitionistic fuzzy c-means (IFCM) is suggested which is based on …

In the presence of undesirable output(s) in the production process, the Malmquist-Luenberger
productivity index (MLPI) has emerged as a standard tool to measure total factor …

We establish a Lagrange multiplier rule, in terms of Clarke generalized gradient, that
characterizes ε-efficiency of a nondifferentiable multiobjective programming problem on a real …

Approximate convex functions are characterised in terms of Clarke generalised gradient.
We apply this characterisation to derive optimality conditions for quasi efficient solutions of …