<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.4 20241031//EN"
        "https://jats.nlm.nih.gov/publishing/1.4/JATS-journalpublishing1-4.dtd">
<article  article-type="research-article"        dtd-version="1.4">
            <front>

                <journal-meta>
                                    <journal-id></journal-id>
            <journal-title-group>
                                                                                    <journal-title>Hacettepe Journal of Mathematics and Statistics</journal-title>
            </journal-title-group>
                            <issn pub-type="ppub">2651-477X</issn>
                                        <issn pub-type="epub">2651-477X</issn>
                                                                                            <publisher>
                    <publisher-name>Hacettepe University</publisher-name>
                </publisher>
                    </journal-meta>
                <article-meta>
                                        <article-id pub-id-type="doi">10.15672/HJMS.2019.659</article-id>
                                                                <article-categories>
                                            <subj-group  xml:lang="en">
                                                            <subject>Mathematical Sciences</subject>
                                                    </subj-group>
                                            <subj-group  xml:lang="tr">
                                                            <subject>Matematik</subject>
                                                    </subj-group>
                                    </article-categories>
                                                                                                                                                        <title-group>
                                                                                                                                                            <article-title>One-step approach for solving general multi-objective De Novo programming problem involving fuzzy parameters</article-title>
                                                                                                    </title-group>
            
                                                    <contrib-group content-type="authors">
                                                                        <contrib contrib-type="author">
                                                                    <contrib-id contrib-id-type="orcid">
                                        https://orcid.org/0000-0002-2914-3238</contrib-id>
                                                                <name>
                                    <surname>Banik</surname>
                                    <given-names>Susanta</given-names>
                                </name>
                                                                    <aff>National Institute of Technology</aff>
                                                            </contrib>
                                                    <contrib contrib-type="author">
                                                                    <contrib-id contrib-id-type="orcid">
                                        https://orcid.org/0000-0002-9264-9813</contrib-id>
                                                                <name>
                                    <surname>Bhattacharya</surname>
                                    <given-names>Debasish</given-names>
                                </name>
                                                                    <aff>National Institute of Technology</aff>
                                                            </contrib>
                                                                                </contrib-group>
                        
                                        <pub-date pub-type="pub" iso-8601-date="20191208">
                    <day>12</day>
                    <month>08</month>
                    <year>2019</year>
                </pub-date>
                                        <volume>48</volume>
                                        <issue>6</issue>
                                        <fpage>1824</fpage>
                                        <lpage>1837</lpage>
                        
                        <history>
                                    <date date-type="received" iso-8601-date="20180607">
                        <day>06</day>
                        <month>07</month>
                        <year>2018</year>
                    </date>
                                                    <date date-type="accepted" iso-8601-date="20180825">
                        <day>08</day>
                        <month>25</month>
                        <year>2018</year>
                    </date>
                            </history>
                                        <permissions>
                    <copyright-statement>Copyright © 2002, Hacettepe Journal of Mathematics and Statistics</copyright-statement>
                    <copyright-year>2002</copyright-year>
                    <copyright-holder>Hacettepe Journal of Mathematics and Statistics</copyright-holder>
                </permissions>
            
                                                                                                                        <abstract><p>Multi-objective De Novo Programming is a user-friendly device for optimal system design. There exist no method for solving general multi-objective De Novo Programs. Only some special cases have been discussed. This paper proposes a one-step method for solving a general De Novo Programming Problem using a Min-max Goal Programming technique where the parameters involved are all fuzzy numbers. The solution obtained is an efficient solution of the problem considered. The present approach is much more realistic than the standard De Novo Programming with crisp parameters. Two numerical examples are given to illustrate the solution procedure.</p></abstract>
                                                            
            
                                                                                        <kwd-group>
                                                    <kwd>De Novo Programming</kwd>
                                                    <kwd>  Fuzzy Numbers</kwd>
                                                    <kwd>  Min-max Goal Programming</kwd>
                                                    <kwd>  Multi-Objective Programming</kwd>
                                                    <kwd>  Degree of Possibility</kwd>
                                            </kwd-group>
                            
                                                                                                                                                    </article-meta>
    </front>
    <back>
                            <ref-list>
                                    <ref id="ref1">
                        <label>1</label>
                        <mixed-citation publication-type="journal">[1] Z. Babic and I. Pavic Multicriterial production planning by de novo programming
approach, Int. J. Prod. Econ. 43 (1), 59–66, 1996.</mixed-citation>
                    </ref>
                                    <ref id="ref2">
                        <label>2</label>
                        <mixed-citation publication-type="journal">[2] C. Carlsson and P. Korhonen, A parametric approach to fuzzy linear programming,
Fuzzy sets and systems, 20 (1), 17–30, 1986.</mixed-citation>
                    </ref>
                                    <ref id="ref3">
                        <label>3</label>
                        <mixed-citation publication-type="journal">[3] S. Chackraborty and D. Bhattacharya, A new approach for solution of multi-stage
and multi-objective decision-making problem using de novo programming, Eur. J. Sci.
Res. 79 (3), 393–417, 2012.</mixed-citation>
                    </ref>
                                    <ref id="ref4">
                        <label>4</label>
                        <mixed-citation publication-type="journal">[4] S. Chackraborty and D. Bhattacharya, Optimal system design under multi-objective
decision making using de-novo concept: A new approach, Int. J. Comput. Appl. 63
(12), 20–27, 2013.</mixed-citation>
                    </ref>
                                    <ref id="ref5">
                        <label>5</label>
                        <mixed-citation publication-type="journal">[5] A. Charnes and W.W. Cooper Management models and industrial applications of
linear programming, Management Science, 4 (1), 38–91, 1957.</mixed-citation>
                    </ref>
                                    <ref id="ref6">
                        <label>6</label>
                        <mixed-citation publication-type="journal">[6] J.K.C. Chen and G.-H. Tzeng, Perspective strategic alliances and resource allocation
in supply chain systems through the de novo programming approach, Int. J. Sustain.
Strat. Manag. 1 (3), 320–339, 2009.</mixed-citation>
                    </ref>
                                    <ref id="ref7">
                        <label>7</label>
                        <mixed-citation publication-type="journal">[7] Y.-W. Chen and H.-E. Hsieh Fuzzy multi-stage de-novo programming problem, Appl.
Math. Comput. 181 (2), 1139–1147, 2006.</mixed-citation>
                    </ref>
                                    <ref id="ref8">
                        <label>8</label>
                        <mixed-citation publication-type="journal">[8] R.B. Flavell, A new goal programming formulation, Omega, 4 (6), 731–733, 1976.</mixed-citation>
                    </ref>
                                    <ref id="ref9">
                        <label>9</label>
                        <mixed-citation publication-type="journal">[9] J.J. Huang, G.-H. Tzeng and C.-S. Ong, Choosing best alliance partners and allocating
optimal alliance resources using the fuzzy multi-objective dummy programming model,
J. Oper. Res. Soc. 57 (10), 1216–1223, 2006.</mixed-citation>
                    </ref>
                                    <ref id="ref10">
                        <label>10</label>
                        <mixed-citation publication-type="journal">[10] J.P. Ignizio, Linear programming in single and multiple objective systems, Prentice-
Hall. Inc., Englewood Cliffs, New Jersey, 1982.</mixed-citation>
                    </ref>
                                    <ref id="ref11">
                        <label>11</label>
                        <mixed-citation publication-type="journal">[11] Y. Ijiri. Management goals and accounting for control, North Holland Publication, 3,
1965.</mixed-citation>
                    </ref>
                                    <ref id="ref12">
                        <label>12</label>
                        <mixed-citation publication-type="journal">[12] D.F. Jones and M. Tamiz, Goal programming in the period 1990 - 2000. In Multiple
Criteria Optimization: State of the art annotated bibliographic surveys, 129–170, 2003.</mixed-citation>
                    </ref>
                                    <ref id="ref13">
                        <label>13</label>
                        <mixed-citation publication-type="journal">[13] S.M. Lee, Goal programming for decision analysis, Auerbach Publishers, Philadelphia,
1972.</mixed-citation>
                    </ref>
                                    <ref id="ref14">
                        <label>14</label>
                        <mixed-citation publication-type="journal">[14] R.J. Li and E.S. Lee, Fuzzy approaches to multicriteria de novo programs, J. Math.
Anal. Appl. 153 (1), 97–111, 1990.</mixed-citation>
                    </ref>
                                    <ref id="ref15">
                        <label>15</label>
                        <mixed-citation publication-type="journal">[15] R.J. Li and E.S. Lee, Multi-criteria de novo programming with fuzzy parameters,
Comput. Math. Appl. 19 (5), 13–20, 1990.</mixed-citation>
                    </ref>
                                    <ref id="ref16">
                        <label>16</label>
                        <mixed-citation publication-type="journal">[16] M.K. Luhandjula, Compensatory operators in fuzzy linear programming with multiple
objectives, Fuzzy sets and systems, 8 (3), 245–252, 1982.</mixed-citation>
                    </ref>
                                    <ref id="ref17">
                        <label>17</label>
                        <mixed-citation publication-type="journal">[17] D.Y. Miao, W.W. Huang, Y.P. Li and Z.F. Yang, Planning water resources systems
under uncertainty using an interval-fuzzy de novo programming method, J. Environ.
Inform. 24 (1), 11–23, 2014.</mixed-citation>
                    </ref>
                                    <ref id="ref18">
                        <label>18</label>
                        <mixed-citation publication-type="journal">[18] C. Romero, Handbook of critical issues in goal programming, Elsevier, 2014.</mixed-citation>
                    </ref>
                                    <ref id="ref19">
                        <label>19</label>
                        <mixed-citation publication-type="journal">[19] S. Saeedi, M. Mohammadi and S. Torabi A de novo programming approach for a robust
closed-loop supply chain network design under uncertainty: An m/m/1 queueing
model, Int. J. Ind. Eng. Comput. 6 (2), 211–228, 2015</mixed-citation>
                    </ref>
                                    <ref id="ref20">
                        <label>20</label>
                        <mixed-citation publication-type="journal">[20] Y. Shi Studies on optimum-path ratios in multicriteria de novo programming problems,
Comput. Math. Appl. 29 (5), 43–50, 1995.</mixed-citation>
                    </ref>
                                    <ref id="ref21">
                        <label>21</label>
                        <mixed-citation publication-type="journal">[21] Y. Shi Optimal system design with multiple decision makers and possible debt: a
multicriteria de novo programming approach, Oper. Res. 44 (5), 723–729, 1999.</mixed-citation>
                    </ref>
                                    <ref id="ref22">
                        <label>22</label>
                        <mixed-citation publication-type="journal">[22] N. Umarusman, Min-max goal programming approach for solving multi-objective de
novo programming problems, Int. J. Oper. Res. 10, 92–99, 2013.</mixed-citation>
                    </ref>
                                    <ref id="ref23">
                        <label>23</label>
                        <mixed-citation publication-type="journal">[23] J.L. Verdegay, A dual approach to solve the fuzzy linear programming problem, Fuzzy
sets and systems, 14 (2), 131–141, 1984.</mixed-citation>
                    </ref>
                                    <ref id="ref24">
                        <label>24</label>
                        <mixed-citation publication-type="journal">[24] L.A. Zadeh, Fuzzy sets as a basis for a theory of possibility, Fuzzy sets and systems,
100, 9–34, 1999.</mixed-citation>
                    </ref>
                                    <ref id="ref25">
                        <label>25</label>
                        <mixed-citation publication-type="journal">[25] M. Zeleny, Multi-objective design of high-productivity systems, Joint Automatic Control
Conference-Paper APPL9-4, ASME, Newyork, 13, 297–300, 1976.</mixed-citation>
                    </ref>
                                    <ref id="ref26">
                        <label>26</label>
                        <mixed-citation publication-type="journal">[26] M. Zeleny (Ed), Mathematical programming with multiple objectives(special issue),
Comput. Oper. Res. 7, 101–107, 1980.</mixed-citation>
                    </ref>
                                    <ref id="ref27">
                        <label>27</label>
                        <mixed-citation publication-type="journal">[27] M. Zeleny, A case study in multi-objective design: De novo programming, Multiple
Criteria Analysis: Operational Methods, (Edited by P. Nijkamp and J. Spronk),
Gower publishing Co., Hampshire, 37–52, 1981.</mixed-citation>
                    </ref>
                                    <ref id="ref28">
                        <label>28</label>
                        <mixed-citation publication-type="journal">[28] M. Zeleny, On the squandering of resources and profits via linear programming, Interfaces,
11 (5), 101–107, 1981.</mixed-citation>
                    </ref>
                                    <ref id="ref29">
                        <label>29</label>
                        <mixed-citation publication-type="journal">[29] M. Zeleny, Optimal system design with multiple criteria: De novo programming approach,
Eng. Cost. Prod. Econ. 10 (2), 89–94, 1986.</mixed-citation>
                    </ref>
                                    <ref id="ref30">
                        <label>30</label>
                        <mixed-citation publication-type="journal">[30] M. Zeleny, Optimizing given systems vs. designing optimal systems: The de novo
programming approach, Int. J. Gen. Syst. 17 (4), 295–307, 1990.</mixed-citation>
                    </ref>
                                    <ref id="ref31">
                        <label>31</label>
                        <mixed-citation publication-type="journal">[31] Y.M. Zhang, G.H. Huang and X.D. Zhang. Inexact de novo programming for water
resources systems planning, European J. Oper. Res. 199 (2), 531–541, 2009.</mixed-citation>
                    </ref>
                                    <ref id="ref32">
                        <label>32</label>
                        <mixed-citation publication-type="journal">[32] H.J. Zimmermann, Fuzzy programming and linear programming with several objective
functions, Fuzzy sets and systems, 1 (1), 45–55, 1978.</mixed-citation>
                    </ref>
                            </ref-list>
                    </back>
    </article>
