On comparing interval numbers

By Atanu Sengupta, T. Pal. European Journal of Operational Research, 2000

494 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/4420f117b119c84a24e73924d3d7007fee5dfc86

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Yong Deng
2. F. Lotfi
3. Shankar Chakraborty
4. Prasenjit Chatterjee
5. Reza Fallahnejad
6. Irik Z. Mukhametzyanov

In Management Science and Operations Research

1. Shankar Chakraborty
2. Prasenjit Chatterjee
3. Yong Deng
4. F. Lotfi
5. Reza Fallahnejad
6. Irik Z. Mukhametzyanov
7. Ali Jahan
8. K. L. Edwards

In Statistics and Probability

1. Yong Deng
2. F. Lotfi
3. Shankar Chakraborty
4. Prasenjit Chatterjee
5. Reza Fallahnejad
6. Irik Z. Mukhametzyanov

Citations in the corpus

• A novel approach in uncertain programming part I: new arithmetic and order relation for interval numbers (2006, background): “[39] T. Sengupta, T.K. Pal, On comparing interval numbers, European Journal of Operational Research, 127 (2000), 28–43.”
• Interval Neutrosophic Sets and Their Application in Multicriteria Decision Making Problems (2014, unknown): “Definition 1 (see [34–37]).”
• A Method of Converting Z-number to Classical Fuzzy Number (2012, unknown): “[2, 3, 4, 5, 6, 7, 8, 9, 10].”
• Imprecise Shannon's Entropy and Multi Attribute Decision Making (2010, methodology): “Various methods can be found in the literature for ranking interval data, each of which is based on a certain theory (for example see [9-14]).”
• An interactive approach for the multi-objective transportation problem with interval parameters (2015, background): “Their algorithm considers fuzzy preference ordering of intervals (Sengupta and Pal 2000) from the pessimistic and optimistic decision-maker’s point of view.”
• A Threat Assessment Model under Uncertain Environment (2015, background): “Recently, it has been suggested to use interval numbers to represent the uncertainty or probability resulting from instinct of the incomplete knowledge or cognition [44–46].”
• An interactive method of tackling uncertainty in interval multiple objective linear programming (2009, background): “(see [ 10 ]). When both the distance and the acceptability index are close to zero, the interval objective functions are close to their corresponding interval ideal solutions.”
• A comparative analysis of VIKOR method and its variants (2016, methodology): “To choose the minimum interval number, the Qi values are now compared with each other using a combined approach (Delgado et al., 1998; Sengupta & Pal, 2000).”