On fuzzy solution of a linear optimization problem with max-aggregation function relation inequality constraints View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-03-31

AUTHORS

Radko Mesiar, Fateme Kouchakinejad, Alexandra Šipošová

ABSTRACT

Crisp constraints in the case of linear optimization problem linked to max-aggregation function composition as rule may result in unsatisfactory solution. We propose and discuss a method of getting more feasible solutions, relaxing crisp inequalities/extremes by means of fuzzy sets.

PAGES

1-13

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10479-017-2483-6

DOI

http://dx.doi.org/10.1007/s10479-017-2483-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1084024806


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Mathematical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Numerical and Computational Mathematics", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Faculty of Civil Engineering, Slovak University of Technology, Radlinsk\u00e9ho 11, 810 05, Bratislava, Slovakia", 
          "id": "http://www.grid.ac/institutes/grid.440789.6", 
          "name": [
            "Faculty of Civil Engineering, Slovak University of Technology, Radlinsk\u00e9ho 11, 810 05, Bratislava, Slovakia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mesiar", 
        "givenName": "Radko", 
        "id": "sg:person.013374353164.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013374353164.75"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Pure Mathematics, Faculty of Mathematics and Computer Science, Shahid Bahonar University of Kerman, Kerman, Iran", 
          "id": "http://www.grid.ac/institutes/grid.412503.1", 
          "name": [
            "Department of Pure Mathematics, Faculty of Mathematics and Computer Science, Shahid Bahonar University of Kerman, Kerman, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kouchakinejad", 
        "givenName": "Fateme", 
        "id": "sg:person.015305723757.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015305723757.69"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Faculty of Civil Engineering, Slovak University of Technology, Radlinsk\u00e9ho 11, 810 05, Bratislava, Slovakia", 
          "id": "http://www.grid.ac/institutes/grid.440789.6", 
          "name": [
            "Faculty of Civil Engineering, Slovak University of Technology, Radlinsk\u00e9ho 11, 810 05, Bratislava, Slovakia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "\u0160ipo\u0161ov\u00e1", 
        "givenName": "Alexandra", 
        "id": "sg:person.0724312661.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0724312661.34"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/978-1-4899-1633-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020883739", 
          "https://doi.org/10.1007/978-1-4899-1633-4"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-03-31", 
    "datePublishedReg": "2017-03-31", 
    "description": "Crisp constraints in the case of linear optimization problem linked to max-aggregation function composition as rule may result in unsatisfactory solution. We propose and discuss a method of getting more feasible solutions, relaxing crisp inequalities/extremes by means of fuzzy sets.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s10479-017-2483-6", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1048429", 
        "issn": [
          "0254-5330", 
          "1572-9338"
        ], 
        "name": "Annals of Operations Research", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1-2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "269"
      }
    ], 
    "keywords": [
      "linear optimization problem", 
      "optimization problem", 
      "fuzzy solution", 
      "inequality constraints", 
      "crisp constraints", 
      "feasible solution", 
      "fuzzy sets", 
      "unsatisfactory solutions", 
      "function composition", 
      "constraints", 
      "solution", 
      "problem", 
      "set", 
      "rules", 
      "means", 
      "cases", 
      "extremes", 
      "composition", 
      "method", 
      "max-aggregation function composition", 
      "crisp inequalities/extremes", 
      "inequalities/extremes", 
      "max-aggregation function relation inequality constraints", 
      "function relation inequality constraints", 
      "relation inequality constraints"
    ], 
    "name": "On fuzzy solution of a linear optimization problem with max-aggregation function relation inequality constraints", 
    "pagination": "1-13", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1084024806"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10479-017-2483-6"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10479-017-2483-6", 
      "https://app.dimensions.ai/details/publication/pub.1084024806"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-11-01T18:29", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211101/entities/gbq_results/article/article_734.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s10479-017-2483-6"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10479-017-2483-6'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10479-017-2483-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10479-017-2483-6'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10479-017-2483-6'


 

This table displays all metadata directly associated to this object as RDF triples.

104 TRIPLES      22 PREDICATES      51 URIs      42 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10479-017-2483-6 schema:about anzsrc-for:01
2 anzsrc-for:0103
3 schema:author Neff9b351338941b5bad2ed08d3f59282
4 schema:citation sg:pub.10.1007/978-1-4899-1633-4
5 schema:datePublished 2017-03-31
6 schema:datePublishedReg 2017-03-31
7 schema:description Crisp constraints in the case of linear optimization problem linked to max-aggregation function composition as rule may result in unsatisfactory solution. We propose and discuss a method of getting more feasible solutions, relaxing crisp inequalities/extremes by means of fuzzy sets.
8 schema:genre article
9 schema:inLanguage en
10 schema:isAccessibleForFree false
11 schema:isPartOf N07e0994112f34e5888bb1352791b5cbe
12 Nd0455ae5cf3449a08d374f2b7a31692d
13 sg:journal.1048429
14 schema:keywords cases
15 composition
16 constraints
17 crisp constraints
18 crisp inequalities/extremes
19 extremes
20 feasible solution
21 function composition
22 function relation inequality constraints
23 fuzzy sets
24 fuzzy solution
25 inequalities/extremes
26 inequality constraints
27 linear optimization problem
28 max-aggregation function composition
29 max-aggregation function relation inequality constraints
30 means
31 method
32 optimization problem
33 problem
34 relation inequality constraints
35 rules
36 set
37 solution
38 unsatisfactory solutions
39 schema:name On fuzzy solution of a linear optimization problem with max-aggregation function relation inequality constraints
40 schema:pagination 1-13
41 schema:productId Nbc9c37a7aac9436bb0d518c60de52591
42 Nc32c9cbd9bc64120ba7329b28246d266
43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084024806
44 https://doi.org/10.1007/s10479-017-2483-6
45 schema:sdDatePublished 2021-11-01T18:29
46 schema:sdLicense https://scigraph.springernature.com/explorer/license/
47 schema:sdPublisher Need179a3362b4de18c76dd82d87401e8
48 schema:url https://doi.org/10.1007/s10479-017-2483-6
49 sgo:license sg:explorer/license/
50 sgo:sdDataset articles
51 rdf:type schema:ScholarlyArticle
52 N07e0994112f34e5888bb1352791b5cbe schema:volumeNumber 269
53 rdf:type schema:PublicationVolume
54 N8a78a84873374a52a1fb7b306439b680 rdf:first sg:person.015305723757.69
55 rdf:rest Neeae6f4a23f141f59e2e6c1f14799d09
56 Nbc9c37a7aac9436bb0d518c60de52591 schema:name doi
57 schema:value 10.1007/s10479-017-2483-6
58 rdf:type schema:PropertyValue
59 Nc32c9cbd9bc64120ba7329b28246d266 schema:name dimensions_id
60 schema:value pub.1084024806
61 rdf:type schema:PropertyValue
62 Nd0455ae5cf3449a08d374f2b7a31692d schema:issueNumber 1-2
63 rdf:type schema:PublicationIssue
64 Neeae6f4a23f141f59e2e6c1f14799d09 rdf:first sg:person.0724312661.34
65 rdf:rest rdf:nil
66 Need179a3362b4de18c76dd82d87401e8 schema:name Springer Nature - SN SciGraph project
67 rdf:type schema:Organization
68 Neff9b351338941b5bad2ed08d3f59282 rdf:first sg:person.013374353164.75
69 rdf:rest N8a78a84873374a52a1fb7b306439b680
70 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
71 schema:name Mathematical Sciences
72 rdf:type schema:DefinedTerm
73 anzsrc-for:0103 schema:inDefinedTermSet anzsrc-for:
74 schema:name Numerical and Computational Mathematics
75 rdf:type schema:DefinedTerm
76 sg:journal.1048429 schema:issn 0254-5330
77 1572-9338
78 schema:name Annals of Operations Research
79 schema:publisher Springer Nature
80 rdf:type schema:Periodical
81 sg:person.013374353164.75 schema:affiliation grid-institutes:grid.440789.6
82 schema:familyName Mesiar
83 schema:givenName Radko
84 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013374353164.75
85 rdf:type schema:Person
86 sg:person.015305723757.69 schema:affiliation grid-institutes:grid.412503.1
87 schema:familyName Kouchakinejad
88 schema:givenName Fateme
89 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015305723757.69
90 rdf:type schema:Person
91 sg:person.0724312661.34 schema:affiliation grid-institutes:grid.440789.6
92 schema:familyName Šipošová
93 schema:givenName Alexandra
94 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0724312661.34
95 rdf:type schema:Person
96 sg:pub.10.1007/978-1-4899-1633-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020883739
97 https://doi.org/10.1007/978-1-4899-1633-4
98 rdf:type schema:CreativeWork
99 grid-institutes:grid.412503.1 schema:alternateName Department of Pure Mathematics, Faculty of Mathematics and Computer Science, Shahid Bahonar University of Kerman, Kerman, Iran
100 schema:name Department of Pure Mathematics, Faculty of Mathematics and Computer Science, Shahid Bahonar University of Kerman, Kerman, Iran
101 rdf:type schema:Organization
102 grid-institutes:grid.440789.6 schema:alternateName Faculty of Civil Engineering, Slovak University of Technology, Radlinského 11, 810 05, Bratislava, Slovakia
103 schema:name Faculty of Civil Engineering, Slovak University of Technology, Radlinského 11, 810 05, Bratislava, Slovakia
104 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...